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  • Statistics In Transition

 

Article

SOME EFFECTIVE ESTIMATION PROCEDURES UNDER NON-RESPONSE IN TWO-PHASE SUCCESSIVE SAMPLING

This work is designed to assess the effect of non-response in estimation of the current population mean in two-phase successive sampling on two occasions. Sub-sampling technique of non-respondents has been used and exponential methods of estimation under two-phase successive sampling arrangement have been proposed. Properties of the proposed estimation procedures have been examined. Empirical studies are carried out to justify the suggested estimation procedures and suitable recommendations

G. N. Singh, M. Khetan, S. Maurya

Statistics in Transition New Series , ISSUE 2, 163–182

Research Article

Parametric prediction of finite population total under Informative sampling and nonignorable nonresponse

In this paper, we combine two methodologies used in the model-based survey sampling, namely the prediction of the finite population total, named T, under informative sampling and full response, see Sverchkov and Pfeffermann  (2004), and the prediction of T with a noninformative sampling design and the nonignorable nonresponse mechanism, see Eideh (2012). The former approach involves the dependence of the first order inclusion probabilities on the study variable, while the latter involves

Abdulhakeem Eideh

Statistics in Transition New Series , ISSUE 1, 13–35

Case report

Yesterday, Today & Tomorrow: Best Practice for CSF Sampling of an EVD to Minimise Patient Risk

Managing raised intracranial pressure (ICP) with the use of an external ventricular drain (EVD) is a common occurrence in a neurosurgical setting. A central role of the neuroscience nurse in managing that EVD is to monitor the patient for signs and symptoms of infection otherwise known as ventriculitis. Cerebrospinal fluid (CSF) sampling from an EVD has historically been completed as a daily routine specimen to monitor for any signs of infection. However, in more recent times there has been

Ruby Crane, Nicole King

Australasian Journal of Neuroscience , ISSUE 2, 7–11

Article

ROBUST VISUAL TRACKING BASED ON SUPPORT VECTOR MACHINE AND WEIGHTED SAMPLING METHOD

) and weighted multi-sample sampling method. Our method constructs a classifier by sampling positive and negative samples and then to find the best candidate that has the largest response using SVM classifier. What’s more, the proposed method integrates weighted multi-instance sampling method, which can consider the sample importance by the different weights. The experimental results on many sequences show the robustness and accuracy of the improved method. The proposed target tracking algorithm in

Gao Xiaoxing, Liu Feng

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 255–271

Article

A NEW ESTIMATOR OF MEAN USING DOUBLE SAMPLING

In this paper, we consider the problem of estimation of population mean of a study variable by making use of first-phase sample mean and first-phase sample median of the auxiliary variable at the estimation stage. The proposed new estimator of the population mean is compared to the sample mean estimator, ratio estimator and the difference type estimator for the fixed cost of the survey by using the concept of two-phase sampling. The magnitude of the relative efficiency of the proposed new

Kalyan Rao Vadlamudi, Stephen A. Sedory, Sarjinder Singh

Statistics in Transition New Series , ISSUE 4, 637–650

Case report

Does duration and sampling of external ventricular drainage systems influence infection rate?

External ventricular drainage systems are often necessary in neurological and neurosurgical patients. The purpose of this literature review is to review the problem of external ventricular drain related infections resulting from repeated cerebrospinal fluid sampling and manipulation of the drain systems. The aim is to provide an appropriate improved protocol for care of patients undergoing external ventricular drainage treatment. Routine analysis of cerebrospinal fluid is often performed to

Nomathemba Moyo

Australasian Journal of Neuroscience , ISSUE 2, 7–14

Research Article

DEVELOPING SINGLE-ACCEPTANCE SAMPLING PLANS BASED ON A TRUNCATED LIFETIME TEST FOR AN ISHITA DISTRIBUTION

Acceptance sampling plans are statistical procedures that are used for quality control and improvement in cases where it is not possible to test every item in a lot of materials. The outcome of this test determines whether the entire lot is accepted or rejected based on a random sample. In this procedure, an important characteristic of the materials is their lifetime sampling distribution, and this can vary from sample to sample. In this article, a new lifetime distribution, known as an Ishita

Amjad D. Al-Nasser, Amer I. Al-Omari, Ahmed Bani-Mustafa, Khalifa Jaber

Statistics in Transition New Series , ISSUE 3, 393–406

Research Article

Quantitative Evaluation of an FPGA based Wireless Vibration Monitoring System in relation to Different Sampling Rates

In order to achieve the high-processing performance  required in typical computationally intensive high-sample rate monitoring applications, a Field Programmable Gate Array (FPGA) is often used as a hardware accelerator.  Given the design complexity, increased power consumption and additional cost of an FPGA, it is desirable to determine the sampling rates for which the use of an FPGA as hardware accelerator results in most effective solution. For this purpose, a computationally

Khurram Shahzad, Bengt Oelmann

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–7

Article

THE ODD GENERALIZED EXPONENTIAL LOG-LOGISTIC DISTRIBUTION GROUP ACCEPTANCE SAMPLING PLAN

In this manuscript, a group acceptance sampling plan (GASP) is developed when the lifetime of the items follows odd generalized exponential log-logistic distribution (OGELLD), the multiple number of items as a group can be tested simultaneously in a tester. The design parameters such as the minimum group size and the acceptance number are derived when the consumer’s risk and the test termination time are specified. The operating characteristic (OC) function values are calculated (intended

Devireddy Charana Udaya Sivakumar, Rosaiah Kanaparthi, Gadde Srinivasa Rao, Kruthiventi Kalyani

Statistics in Transition New Series , ISSUE 1, 103–116

Research Article

Estimation of finite population mean using two auxiliary variables under stratified random sampling

This paper addresses the problem of an alternative approach to estimating the population mean of the study variable with the help of the auxiliary variable under stratified random sampling. The properties of the suggested estimator have been studied under large sample approximation. It has been demonstrated that the suggested estimator is more efficient than other considered estimators. To judge the merits of the proposed estimator, an empirical study has been carried out to support the present

Rohini Yadav, Rajesh Tailor

Statistics in Transition New Series , ISSUE 1, 1–12

Article

APPLICATION OF THE STRATEGY COMBINING MONETARY UNIT SAMPLING AND THE HORVITZ– THOMPSON ESTIMATOR OF ERROR AMOUNT IN AUDITING – RESULTS OF A SIMULATION STUDY

Auditors need information on the performance of different statistical methods when applied to audit populations. The aim of the study was to examine the reliability and efficiency of a strategy combining systematic Monetary Unit Sampling and confidence intervals for the total error based on the Horvitz-Thompson estimator with normality assumption. This strategy is a possible alternative for testing audit populations with high error rates. Using real and simulated data sets, for the majority of

Bartłomiej Janusz

Statistics in Transition New Series , ISSUE 2, 85–106

Research paper

RATIO-TO-REGRESSION ESTIMATOR IN SUCCESSIVE SAMPLING USING ONE AUXILIARY VARIABLE

The problem of estimation of finite population mean on the current occasion based on the samples selected over two occasions has been considered. In this paper, first a chain ratio-to-regression estimator was proposed to estimate the population mean on the current occasion in two-occasion successive (rotation) sampling using only the matched part and one auxiliary variable, which is available in both the occasions. The bias and mean square error of the proposed estimator is obtained. We

Zoramthanga Ralte, Gitasree Das

Statistics in Transition New Series , ISSUE 2, 183–202

Article

DEVELOPMENT OF CHAIN-TYPE EXPONENTIAL ESTIMATORS FOR POPULATION VARIANCE IN TWOPHASE SAMPLING DESIGN IN PRESENCE OF RANDOM NON-RESPONS

In this paper, an investigation has been carried out to deal with a unified approach of estimation procedures of population variance in two-phase sampling design under missing at random non-response mechanism circumstances. Using two auxiliary variables, we have developed different chain-type exponential estimators of finite population variance for two different set-ups and studied their properties under the different assumption of random non-response considered by Tracy and Osahan (1994). The

G. N. Singh, Amod Kumar, Gajendra K. Vishwakarma

Statistics in Transition New Series , ISSUE 4, 575–596

Article

PREDICTION OF A FUNCTION OF MISCLASSIFIED BINARY DATA

correct the bias of the naive predictor using a double sampling idea where both inaccurate and accurate measurements are taken on the binary variable for all the units of a sample drawn from the original data using a probability sampling scheme. Using this additional information and design-based sample survey theory, we derive a biascorrected predictor. We examine the cases where the new bias-corrected predictors can also improve over the naive predictor in terms of mean square error (MSE).

Noriah M. Al-Kandari, Partha Lahiri

Statistics in Transition New Series , ISSUE 3, 429–447

Sampling Methods

IMPROVED ROTATION PATTERNS USING TWO AUXILIARY VARIABLES IN SUCCESSIVE SAMPLING

The present paper emphasizes the role of two auxiliary variables on both the occasions to improve the precision of estimates at the current (second) occasion in two-occasion successive sampling. Information on two auxiliary variables, which are positively correlated with the study variable, has been used with the aid of exponential type structures and an efficient estimation procedure of population mean on the current (second) occasion has been suggested. The behaviour of the proposed estimator

Jaishree Prabha Karna, Dilip Chandra Nath

Statistics in Transition New Series , ISSUE 1, 25–44

Article

ESTIMATION OF MEAN ON THE BASIS OF CONDITIONAL SIMPLE RANDOM SAMPLE

Estimation of the population mean in a finite and fixed population on the basis of the conditional simple random sampling design dependent on order statistics (quantiles) of an auxiliary variable is considered. Properties of the well-known Horvitz-Thompson and ratio type estimators as well as the sample mean are taken into account under the conditional simple random sampling designs. The considered examples of empirical analysis lead to the conclusion that under some additional conditions the

Janusz Wywiał

Statistics in Transition New Series , ISSUE 3, 411–428

Article

EFFICIENT FAMILY OF RATIO-TYPE ESTIMATORS FOR MEAN ESTIMATION IN SUCCESSIVE SAMPLING ON TWO OCCASIONS USING AUXILIARY INFORMATION

In this paper, we proposed an efficient family of ratio-type estimators using one auxiliary variable for the estimation of the current population mean under successive sampling scheme. This family of estimators have been studied by Ray and Sahai (1980) under simple random sampling using one auxiliary variable for estimation of the population mean. Using these estimators in successive sampling, the expression for bias and mean squared error of the proposed estimators are obtained up to the first

Nazeema T. Beevi, C. Chandran

Statistics in Transition New Series , ISSUE 2, 227–245

Research Article

ESTIMATION OF PRODUCT OF TWO POPULATION MEANS BY MULTI-AUXILIARY CHARACTERS UNDER DOUBLE SAMPLING THE NON-RESPONDENTS

This paper considers the problem of estimating the product of two population means using the information on multi-auxiliary characters with double sampling the non-respondents. Classes of estimators are proposed for estimating P under two different situations [discussed by Rao (1986, 90)] using known population mean of multi-auxiliary characters. Further, this problem has been extended to the case when population means of the auxiliary characters are unknown and they are estimated on the basis

B. B. Khare, R. R. Sinha

Statistics in Transition New Series , ISSUE 3, 81–95

Research Article

Horvitz-Thompson estimator based on the auxiliary variable

In this paper, the Horvitz and Thompson (1952) estimator will be modified; so that, the modified estimators will use the availability of the auxiliary variable. Furthermore, the modified estimators are extended to be used in stratified sampling designs. Empirical studies are given for comparison purposes.

J. Al-Jararha, Mazen Sulaiman

Statistics in Transition New Series , ISSUE 1, 37–53

Article

Sampling Error in Relation to Cyst Nematode Population Density Estimation in Small Field Plots

soil. Goodness of fit of data to probability distribution tested with x2 test confirmed a negative binomial distribution of cyst counts for 21 out of 23 plots. The recommended measure of sampling precision of 17% expressed through coefficient of variation (cv) was achieved if the plots of 1m2 contaminated with more than 90 cysts per 100 g of soil were sampled with 10-core bulk samples taken in five repetitions. If plots were contaminated with less than 75 cysts per 100 g of soil, 10-core bulk

VESNA ZUPUNSKI, RADIVOJE JEVTIC, VESNA SPASIC JOKIC, LJUBICA ZUPUNSKI, MIRJANA LALOSEVIC, MIHAJLO CIRIC, ZIVKO CURCIC

Journal of Nematology , ISSUE 2, 150–155

Article

NONRANDOMIZED RESPONSE MODEL  FOR COMPLEX SURVEY DESIGNS

Warner’s randomized response (RR) model is used to collect sensitive information for a broad range of surveys, but it possesses several limitations such as lack of reproducibility, higher costs and it is not feasible for mail questionnaires. To overcome such difficulties, nonrandomized response (NRR) surveys have been proposed. The proposed NRR surveys are limited to simple random sampling with replacement (SRSWR) design. In this paper, NRR procedures are extended to complex survey

Raghunath Arnab, Dahud Kehinde Shangodoyin, Antonio Arcos

Statistics in Transition New Series , ISSUE 1, 67–86

Article

BAYESIAN ESTIMATION OF MEASLES VACCINATION COVERAGE UNDER RANKED SET SAMPLING

The present article is concerned with the problem of estimating an unknown population proportion p, say, of a certain population characteristic in a dichotomous population using the data collected through ranked set sampling (RSS) strategy. Here, it is assumed that the proportion p is not fixed but a random quantity. A Bayes estimator of p is proposed under squared error loss function assuming that the prior density of p belongs to the family of Beta distributions. The performance of the

Radhakanta Das, Vivek Verma, Dilip C. Nath

Statistics in Transition New Series , ISSUE 4, 589–608

Sampling Methods

EFFICIENT ESTIMATORS OF POPULATION MEAN USING AUXILIARY INFORMATION UNDER SIMPLE RANDOM SAMPLING

Mir Subzar, Showkat Maqbool, Tariq Ahmad Raja, Surya Kant Pal, Prayas Sharma

Statistics in Transition New Series , ISSUE 2, 219–238

Article

ESTIMATING POPULATION COEFFICIENT OF VARIATION USING A SINGLE AUXILIARY VARIABLE IN SIMPLE RANDOM SAMPLING

Rajesh Singh, Madhulika Mishra

Statistics in Transition New Series , ISSUE 4, 89–111

Research paper

A HIGH RESOLUTION OF HUMAN BREATH GAS SENSOR AND THE ANALYSIS OF HYPERVENTILATION FOR RESCUE ROBOTICS IN DISASTER ZONES (IRIS2010)

This paper presents a new type of ultrasonic gas molecule concentration sensor for rescue robotics and the performance of developed sensor is investigated by applying as human breath gas measurement sensor. This devise can measure the change of the gas concentration with a sampling rate of 400 kHz. Ideal gas experiment results show that the proposed sensor could detect the difference between 5% CO2 and pure air over 50 dB S/N and could discriminate humidified air and pure air with 55 dB S/N

Hideki Toda, Genci Capi

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 292–303

Research Article

Model of geophysical fields representation in problems of complex correlation-extreme navigation

sampling without distorting the form of the correlation functions.

Volodymyr KHARCHENKO, Maryna MUKHINA

Transport Problems , ISSUE 3, 35–41

Article

A KRIGING-BASED UNCONSTRAINED GLOBAL OPTIMIZATION ALGORITHM

optimal searching direction into more promising regions. Kriging modeling which can fast construct an approximation model is the premise of performing optimization. Next, a new infill sampling criterion (ISC) called improved generalized expected improvement which round off Euclidean norm on variation of the optimal solutions of parameter θ to replace parameter g can effectively balance global and local search in IGEGO method. Twelve numerical tests and an engineering example are given to illustrate

Yaohui Li

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 927–952

Article

NEW APPROACHES USING EXPONENTIAL TYPE ESTIMATOR WITH COST MODELLING FOR POPULATION MEAN ON SUCCESSIVE WAVES

The key and fundamental purpose of sampling over successive waves lies in the varying nature of study character, it so may happen with ancillary information if the time lag between two successive waves is sufficiently large. Keeping the varying nature of auxiliary information in consideration, modern approaches have been proposed to estimate population mean over two successive waves. Four exponential ratio type estimators have been designed. The properties of proposed estimators have been

Kumari Priyanka, Richa Mittal

Statistics in Transition New Series , ISSUE 4, 569–587

Article

TRIAXIAL TESTS ON WEAK COHESIVE SOILS – SOME PRACTICAL REMARKS (PART 1)

) presents detailed description and discussion of the issues related to weak soil sampling and forming of triaxial specimens, based on the Authors’ own experience and literature review. Some solutions, which make the work with weak soils easier and, at the same time, increase the reliability of the results, are suggested e.g.: an “extra consolidation” in a sampler or alternative preparation of the specimen from slurry. Due to the ampleness of the problems related to testing of weak

Magdalena KOWALSKA, Małgorzata JASTRZĘBSKA

Architecture, Civil Engineering, Environment , ISSUE 3, 71–80

Article

DEVELOPMENT OF SMALLAREA ESTIMATION IN OFFICIAL STATISTICS

. Next, before discussing general issues of small area estimation (SAE) in official statistics, the author reminds: the methods of sampling surveys, data collection, estimation procedures, and data quality assessment used for official statistics. Statistical information is published in different breakdowns with stable or even decreasing budget while being legally bound to control the response burden. Special attention is paid, from a practitioner point of view, to synthetic development of small area

Jan Kordos

Statistics in Transition New Series , ISSUE 1, 105–132

Sampling Methods

JOINT RESPONSE PROPENSITY AND CALIBRATION METHOD

This paper examines the chain of weights, beginning with the basic sampling weights for the respondents. These were then converted to reweights to reduce the bias due to missing quantities. If micro auxiliary variables are available for a gross sample, we suggest taking advantage first of the response propensity weights, and then of the calibrated weights with macro (aggregate) auxiliary variables. We also examined the calibration methodology that starts from the basic weights. Simulated data

Seppo Laaksonen, Auli Hämäläinen

Statistics in Transition New Series , ISSUE 1, 45–60

Article

ESTIMATING SENSITIVE POPULATION PROPORTION USING A COMBINATION OF BINOMIAL AND HYPERGEOMETRIC RANDOMIZED RESPONSES BY DIRECT AND INVERSE MECHANISM

individuals possessing those sensitive attributes can potentially eliminate the bias. Following Chaudhuri and Dihidar (2014) and Dihidar (2016), here, as a possible variant, we have made an attempt to estimate the sensitive population proportion using a combination of binomial and hypergeometric randomized responses by direct and inverse mechanism. Along with the traditional simple random sampling, with and without replacement, we consider here sampling of respondents by unequal probabilities. Essential

Kajal Dihidar, Manjima Bhattacharya

Statistics in Transition New Series , ISSUE 2, 193–210

Article

SMALL AREA ESTIMATION IN THE GERMAN CENSUS 2011

In 2011, Germany conducted the first census after the reunification. In contrast to a classical census, a register-assisted census was implemented using population register data and an additional sample. This paper provides an overview of how the sampling design recommendations were set up in order to fulfil legal requirements and to guarantee an optimal but still flexible source of information. The aim was to develop a design that fosters an accurate estimation of the main objective of the

Ralf Münnich, Jan Pablo Burgard, Siegfried Gabler, Matthias Ganninger, Jan-Philipp Kolb

Statistics in Transition New Series , ISSUE 1, 25–40

Article

New linear model for optimal cluster size in cluster sampling

Alok Kumar Shukla, Subhash Kumar Yadav

Statistics in Transition New Series , ISSUE 2, 189–200

Article

SEQUENTIAL DATA WEIGHTING PROCEDURES FOR COMBINED RATIO ESTIMATORS IN COMPLEX SAMPLE SURVEYS

In sample surveys weighting is applied to data to increase the quality of estimates. Data weighting can be used for several purposes. Sample design weights can be used to adjust the differences in selection probabilities for non-self weighting sample designs. Sample design weights, adjusted for nonresponse and non-coverage through the sequential data weighting process. The unequal selection probability designs represented the complex sampling designs. Among many reasons of weighting, the most

Aylin Alkaya, H. Öztaş Ayhan, Alptekin Esin

Statistics in Transition New Series , ISSUE 2, 247–270

Research Communicate

SAMPLE ALLOCATION IN ESTIMATION OF PROPORTION IN A FINITE POPULATION DIVIDED AMONG TWO STRATA

Dominik Sieradzki, Wojciech Zieliński

Statistics in Transition New Series , ISSUE 3, 541–548

Research Article

CHARACTERIZATION OF THE SUM OF BINOMIAL RANDOM VARIABLES UNDER RANKED SET SAMPLING

Vivek Verma, Dilip C. Nath

Statistics in Transition New Series , ISSUE 3, 1–29

Research Article

LabVIEW Based Characterization and Optimization of Thermal Sensors

Nasrin Afsarimanesh, Pathan Zaheer Ahmed

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 726–739

Sampling Methods

A GENERALIZED EXPONENTIAL TYPE ESTIMATOR OF POPULATION MEAN IN THE PRESENCE OF NON-RESPONSE

In this article, we propose a class of generalized exponential type estimators to estimate the finite population mean by using two auxiliary variables under non-response in simple random sampling. The proposed estimator under non-response in different situations has been studied and gives minimum mean square error as compared to all other considered estimators. Usual exponential ratio type estimator, exponential product type estimator and many more estimators are also identified from the

Siraj Muneer, Javid Shabbir, Alamgir Khalil

Statistics in Transition New Series , ISSUE 2, 259–276

Article

FPGA BASED MAXIMUM POWER POINT TRACKER OF PARTIALLY SHADED SOLAR PHOTOVOLTAIC ARRAYS USING MODIFIED ADAPTIVE PERCEPTIVE PARTICLE SWARM OPTIMIZATION

flexibility in the motion dynamics of the particle in the search space through variation in perception radius, number of sampling points per directions, and the number of sampling directions. The APPSO algorithm has been suitably modified to suit to the slight changes in the maximum power point at around the maximum power point. The proposed technique uses only one pair of sensors to control multiple PV arrays. This results in lower cost, higher accuracy and also the algorithm is simple. The

Shubhajit Roy Chowdhury, Dipankar Mukherjee, Hiranmay Saha

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 661–675

Original Paper

Natural Attenuation Potential of Polychlorinated Biphenyl-Polluted Marine Sediments

petroleum hydrocarbons (TPHs). Then we adopted both culture-dependent and culture-independent (PCR-DGGE) approaches to identify bacterial inhabitants of the polluted marine sediments from Shuwaikh harbor. The chemical analysis revealed spatial variation among the sampling stations in terms of total amount of PCBs, TPHs and the PCB congener fingerprints. Moreover, in all analyzed sediments, the medium-chlorine PCB congeners were more abundant than the low-chlorine and high-chlorine counterparts. PCR-DGGE

Sarah Aldhafiri, Huda Mahmoud, Mohammed Al-Sarawi, Wael A. Ismail

Polish Journal of Microbiology , ISSUE 1, 37–48

Sampling Methods

A BAYESIAN INFERENCE OF MULTIPLE STRUCTURAL BREAKS IN MEAN AND ERROR VARIANCE IN PANEL AR (1) MODEL

This paper explores the effect of multiple structural breaks to estimate the parameters and test the unit root hypothesis in panel data time series model under Bayesian perspective. These breaks are present in both mean and error variance at the same time point. We obtain Bayes estimates for different loss function using conditional posterior distribution, which is not coming in a closed form, and this is approximately explained by Gibbs sampling. For hypothesis testing, posterior odds ratio is

Varun Agiwal, Jitendra Kumar, Dahud Kehinde Shangodoyin

Statistics in Transition New Series , ISSUE 1, 7–23

Article

A COMPREHENSIVE REVIEW ON THE IMPACT OF COMPRESSED SENSING IN WIRELESS SENSOR NETWORKS

Sensor networking is a promising technology that facilitates the monitoring of the physical world using tiny, inexpensive wireless devices that are spatially distributed across a wide region. These networks are highly constrained in power, computational capacities and memory. Incorporation of techniques based on the concept of Compressed Sensing (CS) which aims to encode sparse signals using a much lower sampling rate than the traditional Nyquist approach has revolutionized the wireless network

G. Edwin Prem Kumar, K. Baskaran, R. Elijah Blessing, M. Lydia

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 818–844

Article

Improved Estimation of the Scale Parameter for Log-Logistic Distribution Using Balanced Ranked Set Sampling

Housila P. Singh, Vishal Mehta

Statistics in Transition New Series , ISSUE 1, 53–74

Short Communication

Evaluation of the Levels and Quality of Microbial Contamination in Medical Emergency Departments in Comparison to Other Workplaces

Work in Hospital Emergency Departments (HEDs) exposes both the emergency ward staff and patients to infectious and in other way harmful biological agents. The results of this study shows the presence of pathogenic bacteria isolated by three different methods. It revealed 9.8% of pathogens detected by imprint method, 10.5% of pathogens by swabbing method, 17.6% and 22% in HEDs corridors and rooms, respectively, by air sampling method. In control workplaces (offices) pathogenic bacteria reached

Agata Bielawska-Drózd, Bożena Wlizło-Skowronek, Piotr Cieślik, Izabela Winnicka, Ewa Skopińska-Różewska, Leszek Kubiak, Dorota Żakowska, Aleksandra Brewczyńska, Janusz Kocik

Polish Journal of Microbiology , ISSUE 4, 465–469

Short Communication

Sero-epidemiology and Risk Factor Analysis of Measles Among Children in Pakistan

Comparative cross sectional study was conducted on blood samples (n = 231) collected from children of 1 to 10 years of age in Punjab Pakistan through convenient sampling method. Indirect haemagglutination assay (IHA) was standardized and used for serodiagnosis and evaluation of humoral immunity against measles. Associated risk factors including age, gender, locale, and vaccination status were analyzed. Geometric mean titre (GMT) of vaccinated individuals was significantly higher (p < 0.001

MUHAMMAD HIDAYAT RASOOL, AHSAN RAFIQ, MUHAMMAD ZEESHAN NAWAZ, MUHAMMAD SHAFIQUE, MUHAMMAD SAQALEIN

Polish Journal of Microbiology , ISSUE 2, 227–231

Article

MODELLING SENSITIVE ISSUES ON SUCCESSIVE WAVES

This paper addresses the problem of estimation of population mean of sensitive character using non-sensitive auxiliary variable at current wave in two wave successive sampling. A general class of estimator is proposed and studied under randomized and scrambled response model. Many existing estimators have been modified to work for sensitive population mean estimation. The modified estimators became the members of proposed general class of estimators. The detail properties of all the estimators

Kumari Priyanka, Pidugu Trisandhya

Statistics in Transition New Series , ISSUE 1, 41–65

Research Article

A promising optoelectronic clock solution for  time-interleaved ADC

Zhongying Wu, Fangxing Lv, Hui Ding

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–4

research-article

Spatial distribution and risk area assessment of Aphelenchoides besseyi using geostatistical approaches in Giridih district of Jharkhand, India

effective and economical control measure in preventing further infestation of this nematode. Geostatistical analyses have been used in the field of nematology to evaluate threat of nematode diseases, devise sampling strategy, investigate level of infestation, and to identify infestation hotspots for site-specific nematode management (Dinardo-Miranda and Fracasso, 2009; Ortiz et al., 2010; Contina et al., 2018). Relationships between spatial variability of nematodes and environmental covariates which

Sandip Mondal, Matiyar Rahaman Khan, Abhishek Mukherjee

Journal of Nematology , 1–16

Article

IMAGE FUSION AND RECOGNITION BASED ON COMPRESSED SENSING THEORY

As the compressed sensing theory can offer a better performance than Nyquist sampling theorem when dealing with large amounts of data, it becomes very popular for image fusion and target recognition in image processing. In this paper, a new image fusion algorithm based on compressed sensing was proposed. By discrete cosine transform, it fused images through weighted coefficient, recovered the fusion images by basic pursuit algorithm. Moreover, a recognition algorithm in compressed sensing was

Qiuchan Bai, Chunxia Jin

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 159–180

Article

DISPLACEMENTS OF CABLE-STAYED BRIDGE MEASURED WITH THE USE OF TRADITIONAL AND MODERN TECHNIQUES

-contact measurements like interferometric radar which is the least sensitive to the distance from a target. It allows the use of higher sampling frequency and at the same time requires relatively little preparation work.

Marek SALAMAK, Tomasz OWERKO, Piotr ŁAZIŃSKI

Architecture, Civil Engineering, Environment , ISSUE 4, 89–97

Research paper

Triple-goal estimation of unemployment rates for U.S. states using the U.S. Current Population Survey data

In this paper, we first develop a triple-goal small area estimation methodology for simultaneous estimation of unemployment rates for U.S. states using the Current Population Survey (CPS) data and a two-level random sampling variance normal model. The main goal of this paper is to illustrate the utility of the triple-goal methodology in generating a single series of unemployment rate estimates for three separate purposes: developing estimates for individual small area means, producing 

Daniel Bonnéry, Yang Cheng, Neung Soo Ha, Partha Lahiri

Statistics in Transition New Series , ISSUE 4, 511–522

Research Communicate

Generalized exponential estimators for the finite population mean

This study proposes a new class of exponential-type estimators in simple random sampling for the estimation of the population mean of the study variable using information of the population proportion possessing certain attributes. Theoretically, mean squared error (MSE) equations of the suggested ratio exponential estimators are obtained and compared with the Naik and Gupta (1996) ratio and product estimators, the ratio and product exponential estimator presented in Singh et al. (2007) and the

Tolga Zaman

Statistics in Transition New Series , ISSUE 1, 159–168

Research Article

RESEARCH ON THE CLASSIFICATION FOR FAULTS OF ROLLING BEARING BASED ON MULTI-WEIGHTS NEURAL NETWORK

be identified. Finally, simulations results based on real sampling data indicate the effectiveness of the methodology proposed in this paper. In addition, simulation results also indicate that MWNN utilized in this paper is more excellent than probabilistic neural network (PNN) and suitable for the classification of small samples.

Yujian Qiang, Ling Chen, Liang Hua, Juping Gu, Lijun Ding, Yuqing Liu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1004–1023

Research paper

SOME CLASSES OF MODIFIED RATIO TYPE ESTIMATORS IN SAMPLE SURVEYS

A. K. P. C. Swain, Manjula Das

Statistics in Transition New Series , ISSUE 1, 37–52

Sampling Methods

POPULATION VARIANCE ESTIMATION USING FACTOR TYPE IMPUTATION METHOD

RANJITA PANDEY, KALPANA YADAV

Statistics in Transition New Series , ISSUE 3, 375–392

Research Article

On the choice of the number of Monte Carlo iterations and bootstrap replicates in Empirical Best Prediction

Adam Chwila, Tomasz Żądło

Statistics in Transition New Series , ISSUE 2, 35–60

Research paper

AN APPROXIMATION TO THE OPTIMAL SUBSAMPLE ALLOCATION FOR SMALL AREAS

This paper develops allocation methods for stratified sample surveys in which small area estimation is a priority. We assume stratified sampling with small areas as the strata. Similar to Longford (2006), we seek efficient allocation that minimizes a linear combination of the mean squared errors of composite small area estimators and of an estimator of the overall mean. Unlike Longford, we define mean-squared error in a model-assisted framework, allowing a more natural interpretation of results

W. B. Molefe, D. K. Shangodoyin, R. G. Clark

Statistics in Transition New Series , ISSUE 2, 163–182

Research Article

DETECTION AND REMOVAL OF DUST PARTICLES IN PIPELINES USING 3-D MEMS

Currently, the detection of dust particles is realized through manual sampling. Thus it is desirable to develop an automated online technique. Generally, industries run with the help of pipelines through which liquid can flow. The main aim of the work is to detect the dust particles which are present inside the pipeline when liquid is flowing through it. Distributed Acoustic Sensing (DAS) is a recent addition to the pipeline security world. Opta sense system is designed to prevent the damage in

B. Thamilvalluvan, Dr.M.Anto Bennet, K. Gokulakrishnan, S. Harrison, R. Shanmugam, B. Mangaram

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 147–162

research-article

Development and Initial Validation of the O&M VISSIT for Orientation and Mobility Specialists to Determine Service Intensity

&M VISSIT tool and surveys were distributed in January 2017. Data collection was completed in May 2017. The Texas Tech University Institutional Review Board approved this study prior to commencement. Methods This study evaluated validity and reliability aspects of the O&M VISSIT using mixed-methods survey research with purposive sampling. Data were collected using a follow-up electronic questionnaire. The questionnaire included Likert scale questions and open-ended response questions to gather

Heather R. Munro, Shannon Darst, Rona L. Pogrund

International Journal of Orientation & Mobility , ISSUE 1, 1–11

Article

A NEW MEDIAN BASED RATIO ESTIMATOR FOR ESTIMATION OF THE FINITE POPULATION MEAN

J. Subramani

Statistics in Transition New Series , ISSUE 4, 591–604

Research Article

Social Structural Analysis of Street-Involved Youth in Winnipeg, Canada

Laura H. Thompson, John Schellenberg, Margaret Ormond, John L. Wylie

Journal of Social Structure , ISSUE 1, 1–17

Article

Spatial-temporal Collaborative Sequential Monte Carlo for Mobile Robot Localization in Distributed Intelligent Environments

In this paper, a spatial-temporal collaborative sequential Monte Carlo architecture for mobile robot localization is designed to well suites intelligent environment for service robotic system. A proposed algorithm, namely Distributed Proportional Allocation-Augmented Particle Filter (DPA-APF), resolves the sensor collaboration problem by the processes of augmented sampling, inter-node resampling, inner-node resampling and particle exchange. These procedures exploit data parallelism and

Kun Qian, Xudong Ma, Xian Zhong Dai, Fang Fang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 295–314

Research Article

IMPROVED MEASURE ALGORITHM BASED ON CoSaMP FOR IMAGE RECOVERY

In order to improve the quality of the reconstruction image which using Compressive sensing(CS) algorithm. Based on improved measurement matrix combined with CS Matching Pursuit(CoSaMP)algorithm, this paper presents a kind of Fourier Ring Compressive Sampling Matching Pursuit (FR-CoSaMP) algorithm. The algorithm superimposed deterministic ring measurement matrix to optimize measurement process on the basis of Fourier measurement matrix. And solve the iterative inverse operation by using FFT

Guohui Wu, Xingkun Li, Jiyang Dai

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 724–739

Article

RESEARCH OF MULTI SENSOR INTELLIGENT SYSTEM SIGNAL FUSION AND RECONSTRUCTION

computation based on. In order to further reduce the sampling effort of large quantities of multifunctional sensor signal reconstruction, is proposed based on the reduction method clustering multifunctional sensor sample selection method, to select the reasonable distribution, suitable for inverse training data model. A new direction to study the theory of multi sensor information fusion is to design and analysis more efficient processing of multi sensor intelligent system is proposed and developed. With

Junjie Yang, Wenxiang Chen, Zhihe Fu, Wei Wu, Zhiping Xie

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1701–1716

Article

CADMIUM AND LEAD CONTENT IN THE BARRIER DUSTS SAMPLED FROM THE NOISE BARRIERS LOCATED NEAR TO POZNAŃ (POLAND) - A PRELIMINARY STUDY

mg kg-1 (in relation to cadmium) and from 11.873 to 38.193 mg kg-1 (in relation to lead) and depended on the structure of the barriers (i.e. their length) and height of the sampling point. The highest metal contents were detected in samples originated from lower sections (0.0-0.5 m) of the longest noise barrier (1700 m). The results indicate the need for a continuous monitoring of heavy metal contents in the barrier dusts and surrounding agricultural soils.

Bożena KARBOWSKA, Mateusz SYDOW, Włodzimierz ZEMBRZUSKI

Architecture, Civil Engineering, Environment , ISSUE 1, 131–136

Article

Nematode Fauna of Tropical Rainforest in Brazil: A Descriptive and Seasonal Approach

evaluate the heterogeneity between two locations and seasons in the Brazilian Atlantic Forest. Structure and composition of the nematode assemblages differed between areas and across time. Rhabditidae dominated the rainy season in both forest soils. Rarefaction curves (RC) suggest that sampling to detect more nematode taxa should be more intensive in the rainy season. The forest soils have complex, stable soil food webs with high connectance and decomposition channels dominated by

MERCIA S. O. CARDOSO, ELVIRA M. R. PEDROSA, HOWARD FERRIS, MARIO M. ROLIM, LAMARTINE S. C. OLIVEIRA

Journal of Nematology , ISSUE 2, 116–125

Article

TRIAXIAL TESTS ON WEAK COHESIVE SOILS – SOME PRACTICAL REMARKS (PART 2)

solutions, which make the work with weak soils easier and, at the same time, increase the reliability of the results, are suggested e.g.: the paraffin method or the use of a special frame enabling repositioning of local microdisplacement sensors during the triaxial test. The issues connected with soil sampling and forming of triaxial specimens have been included in part 1/2 of this article. In the Authors opinion, the text (parts 1 and 2) may constitute an important hint for researchers completing a

Małgorzata JASTRZĘBSKA, Magdalena KOWALSKA

Architecture, Civil Engineering, Environment , ISSUE 3, 81–93

Article

Review of 3D Point Cloud Data Segmentation Methods

matrix, and the ratio was minimum point as a seed point, the process is mainly used in the building plane extraction rule, the high cost of time; Vosselman et al.[15] use randomly selecting seed sampling points, is determined these seed point whether neighborhood can be fitted to a predetermined model, but the method is prone to false segmentation; Koster[16] using the generated information in a relatively irregular pyramid FIG between the storage area, for comparing and merging adjacent regions; Pu

Xiaoyi Ruan, Baolong Liu

International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 66–71

Research paper

INFERENTIAL ISSUES IN MODEL-BASED SMALL AREA ESTIMATION: SOME NEW DEVELOPMENTS

J. N. K. Rao

Statistics in Transition New Series , ISSUE 4, 491–510

Research paper

AN INITIAL RESEARCH ON OUTPUT WELL-BEING INDEX APPLIED TO RESIDENTS IN WEALTHY COUNTIES FROM CHINA 

Sampling from three wealthy counties in Shandong province (n = 855), this research examined the characteristics of an output well-being index, and the index shows good internal consistency reliability and ideal construct validity. It could be used as an instrument to evaluate the quality of life of Chinese citizens. The index was applied to an analysis of the quality of life of the residents from three wealthy counties. It shows that the level of the quality of life of the rural residents is

Zhanjun Xing, Xiaxia Qu

Statistics in Transition New Series , ISSUE 3, 441–460

Article

ESTIMATION OF SMALL AREA CHARACTERISTICS USING MULTIVARIATE RAO-YU MODEL

autocorrelated random effects between areas and sampling errors, can be useful. The efficiency of this approach involves the degree of correlation between dependent variables considered in the model. In the paper we take up the subject of the estimation of incomes and expenditure in Poland by means of the multivariate Rao-Yu model based on the sample data coming from the Polish Household Budget Survey and administrative registers. In particular, the advantages and limitations of bivariate models have been

Alina Jędrzejczak, Jan Kubacki

Statistics in Transition New Series , ISSUE 4, 725–742

Research Article

HYBRID MULTIPLE IMPUTATION IN A LARGE SCALE COMPLEX SURVEY

HMI method has proven to be markedly superior to the existing MI methods in terms of computational efficiency. The authors illustrate repeated sampling properties of the hybrid approach using simulated data. The results are also illustrated by child data from the multiple indicator survey (MICS) in Punjab 2014.

Humera Razzak, Christian Heumann

Statistics in Transition New Series , ISSUE 4, 33–58

Research Article

A New Scheme for Determination of Respiration Rate in Human Being using MEMS Based Capacitive Pressure Sensor: Simulation Study

during inspiration and expiration impinge on the sensor diaphragms. Due to nasal airflow, the designed square diaphragm of the sensor is being deflected and thus induces a corresponding change in the original capacitance value. This change in capacitance value is to be detected by a correlateddouble-sampling (CDS) capacitance-to-voltage converter is designed for a precision interface with a MEMS capacitive pressure sensor, followed by an amplifier and a  differential cyclic ADC to digitize the

Madhurima Chattopadhyay, Deborshi Chakraborty

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–5

Research paper

BORROWING INFORMATION OVER TIME IN BINOMIAL/LOGIT NORMAL MODELS FOR SMALL AREA ESTIMATION

logits of the true proportions. Effective sample sizes are defined so variances given the true proportions equal corresponding sampling variances of the direct survey estimates. We extend the BLN model to bivariate and time series (first order autoregressive) versions to permit borrowing information from past survey estimates, then apply these models to data used by the U.S. Census Bureau’s Small Area Income and Poverty Estimates (SAIPE) program to predict county poverty for school-age children. We

Carolina Franco, William R. Bell

Statistics in Transition New Series , ISSUE 4, 563–584

original-paper

Prevalence of Multi-Drug Resistant Mycobacterium Tuberculosis in Khyber Pakhtunkhwa – A High Tuberculosis Endemic Area of Pakistan

prevalent in the Khyber Pakhtunkhwa (KPK) province of Pakistan. MDR-TB is notified after a confirmatory DST test performed at the central BSL-III laboratory. Experimental Material and Methods Study site. Random samples were collected from 25 districts of KPK using a simple random sampling (SRS) formula, which was previously used in a national TB survey of Pakistan: n⁢ (S⁢R⁢S)=N×z2×p×(1−p)d2×(N−1)+z2×p×(1−p) where SRS – Sample Random Sampling N – total number of new smear positive cases registered

SAJID ALI, MUHAMMAD TAHIR KHAN, ANWAR SHEED KHAN, NOOR MOHAMMAD, MUHAMMAD MUMTAZ KHAN, SAJJAD AHMAD, SADIQ NOOR, ABDUL JABBAR, CANTILLON DAIRE, FARIHA HASSAN

Polish Journal of Microbiology , ISSUE 2, 133–137

Article

SMALL AREA ESTIMATION OF INCOME UNDER SPATIAL SAR MODEL

The paper presents the method of hierarchical Bayes (HB) estimation under small area models with spatially correlated random effects and a spatial structure implied by the Simultaneous Autoregressive (SAR) process. The idea was to improve the spatial EBLUP by incorporating the HB approach into the estimation algorithm. The computation procedure applied in the paper uses the concept of sampling from a posterior distribution under generalized linear mixed models implemented in WinBUGS software

Jan Kubacki, Alina Jędrzejczak

Statistics in Transition New Series , ISSUE 3, 365–390

Research Article

Two New Species of Pristionchus (Nematoda: Diplogastridae) from Taiwan and the Definition of the pacificus Species-Complex Sensu Stricto

Asia has emerged as a hotspot of Pristionchus speciation and recent samplings have therefore focused on Islands and mainland settings in East Asia. Here, we describe in a series of three publications the results of our sampling efforts in Taiwan, Japan, and Hongkong in 2016 and 2017. We describe a total of nine new species that cover different phylogenetic species-complexes of the Pristionchus genus. In this first publication, we describe two new species, Pristionchus sikae sp. n. and Pristionchus

Kohta Yoshida, Matthias Herrmann, Natsumi Kanzaki, Christian Weiler, Christian Rödelsperger, Ralf J. Sommer

Journal of Nematology , ISSUE 3, 355–368

Original Paper

Effectiveness of Antipseudomonal Antibiotics and Mechanisms of Multidrug Resistance in Pseudomonas aeruginosa

Pseudomonas aeruginosa is a leading human pathogen that causes serious infections at various tissues and organs leading to life threaten­ing health problems and possible deadly outcomes. Resistance patterns vary widely whether it is from hospitals or community acquired infections. Reporting resistance profiles to a certain antibiotics provide valuable information in a given setting, but may be extrapolated outside the sampling location. In the present study, P. aeruginosa isolates were

Mohamed E. El Zowalaty, Béla Gyetvai

Polish Journal of Microbiology , ISSUE 1, 23–32

original-paper

Illumina MiSeq Analysis and Comparison of Freshwater Microalgal Communities on Ulleungdo and Dokdo Islands

replaced with a dash (–) 1Relative abundance 2Frequency of microalgae detected at each sampling site A total of 50 microalgal genera were detected, with 37 identified by scientific name. Fourteen genera had a relative abundance of at least 1% (Table ???). Three diatom genera (Nitzschia, Pinnularia, and Amphora) known to produce toxins were identified on Seonginbong (Pinnularia, 0.09%) and Seodo (Nizschia, 3.26%; Amphora, 0.12%). For the diatom genera with a relative abundance of at least 1%, genera

HYUN-SIK YUN, YOUNG-SAENG KIM, HO-SUNG YOON

Polish Journal of Microbiology , ISSUE 4, 527–539

Original Paper

Impact of an enclosure rotation on the activity budgets of two zoo-housed giant pandas (Ailuropoda melanoleuca): An observational case study

budgets of two captive giant pandas, Funi and Wang Wang, housed at the Adelaide Zoo in South Australia. Instantaneous time sampling methods were used to record the giant pandas’ behaviour and location in each enclosure at 180-second intervals over a total of 180 hours (132 baseline hours, 48 post-intervention hours). Following the enclosure rotation, Funi demonstrated a reduction in performance of stereotypic pacing (from 11% of scans at baseline to 4% of scans post-intervention), as well as a

Jillian Claire Ryan, Carla A Litchfield

Eat, Sleep, Work , ISSUE 1, 26–38

Original Paper

Isolation of Sabin-like Polioviruses from Sewage in Poland

As a complement to the active search for cases of acute flaccid paralysis, environmental sampling was conducted from January to December 2011, to test for any putative polio revertants and recombinants in sewage. A total of 165 environmental samples were obtained and analyzed for the presence of polioviruses by use of cell culture (L20B, RD and Caco-2) followed by neutralization and reverse-transcription polymerase chain reaction. Out of the 31 CPE positive samples, 26 contained one and 5 two

Agnieszka Figas, Magdalena Wieczorek, Anna Żuk-Wasek, Bogumiła Litwińska

Polish Journal of Microbiology , ISSUE 1, 89–96

Research Article

Molecular Identification of Entomopathogenic Nematode Isolates from the Philippines and their Biological Control Potential Against Lepidopteran Pests of Corn

most susceptible to H. indica PBCB (21.90 hr) and S. abbasi (21.18 hr). Our results suggest that H. indica PBCB and S. abbasi MBLB are good candidates as biological control agents against these insect pests of corn. Moreover, O. furnacalis as alternative bait for EPN was discussed. To date, this is the most extensive research on Philippine EPN, comprised of wide sampling coverage, molecular identification and bioefficacy assays.

Barbara L. Caoili, Romnick A. Latina, Regina Faye C. Sandoval, Joey I. Orajay

Journal of Nematology , ISSUE 2, 99–110

Original Paper

Modeling alloantibody formation to highincidence red blood cell antigens in immune responders using genotypic data  

= 0.7, and p = 0.7, respectively). Although they had a known exposure to alloantigens through transfusion or pregnancy, 86.2 percent of patients (25 of 29) at risk for alloantibody formation to an HIA in fact did not mount an immune response to that antigen. Possible risk factors including the number of transfused units or the total number of alloantibodies made were not predictors of making an alloantibody to an HIA in our sampling. Our results suggest that other patient-specific risk factors for

Patricia A.R. Brunker, Keerthana Ravindran, R. Sue Shirey

Immunohematology , ISSUE 1, 9–14

Research Article

Child self-report and parent ratings for the Strengths and Difficulties Questionnaire: Norms and agreement in a Swedish random population sample

children aged 11 to 16 years, 100 per age group, and one of their parents (N=1200) yielded a sampling pool of 1158 participants and a 34.8% response rate, including 175 child–parent pairs and 27 and 26 child/parent singletons. Responses to child and parent versions of the extended SDQ were analyzed by child gender and age. Child–parent agreement was evaluated using the Prevalence- and Bias-Adjusted Kappa and Bland–Altman plots.Results:Older children reported greater difficulties compared with younger

Bojing Liu, Karin Engström, Isabel Jadbäck, Sara Ullman, Anne H. Berman

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology , ISSUE 1, 13–27

Article

First Report of Longidorus kuiperi and Rotylenchus eximius from Coastal Sand Dunes in Crete, Greece

Plant-parasitic nematode species have been reported on several occasions from coastal sand dunes, including Longidorus and Rotylenchus species (Vovlas et al., 2008; De Luca et al., 2009; Mateille et al., 2014). In April 2016, 10 soil samples of 3 to 4 kg from the rhizosphere of Tamarix smyrnensis with different vegetation around (viz. Elymus farctus, Lycium schweinfurthii, Crithmum maritimum, and Arthrocnemum sp.) were collected for diagnosis of plant-parasitic nematodes. The area of sampling

EMMANUEL A. TZORTZAKAKIS, CAROLINA CANTALAPIEDRA-NAVARRETE, ANTONIO ARCHIDONA-YUSTE, JUAN E. PALOMARES-RIUS, PABLO CASTILLO

Journal of Nematology , ISSUE 3, 135–135

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