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  • Statistics In Transition

 

Research paper

JOINT CALIBRATION ESTIMATOR FOR DUAL FRAME SURVEYS

estimation variable and the auxiliary variables employed in the calibration. The JCE achieves better performance when the auxiliary variables can fully explain the variability in the study variables or at least when the auxiliary variables are strong correlates of the estimation variables. As opposed to the standard dual frame estimators, the JCE does not require domain membership information. Even if included in the JCE auxiliary variables, the effect of the randomly misclassified domains does not

Mahmoud A. Elkasabi, Steven G. Heeringa, James M. Lepkowski

Statistics in Transition New Series , ISSUE 1, 7–36

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

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

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

Research Article

A MATHEMATICAL PROGRAMMING APPROACH FOR OBTAINING OPTIMUM STRATA BOUNDARIES USING TWO AUXILIARY VARIABLES UNDER PROPORTIONAL ALLOCATION

information many authors have formulated the problem as a MPP by redefining the problem as the problem of optimum strata width, and developed a solution procedure using dynamic programming technique. By using many distributions they worked out the optimum strata boundary points for the population under different allocation. In this paper, under proportional allocation OSBs are determined for the study variable using two auxiliary variables as the basis of stratification with uniform, right-triangular

Faizan Danish

Statistics in Transition New Series , ISSUE 3, 507–526

Research Article

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

Rohini Yadav, Rajesh Tailor

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

Article

SMALL AREA PREDICTION UNDER ALTERNATIVE MODEL SPECIFICATIONS

Construction of small area predictors and estimation of the prediction mean squared error, given different types of auxiliary information are illustrated for a unit level model. Of interest are situations where the mean and variance of an auxiliary variable are subject to estimation error. Fixed and random specifications for the auxiliary variables are considered. The efficiency gains associated with the random specification for the auxiliary variable measured with error are demonstrated. A

Andreea L. Erciulescu, Wayne A. Fuller

Statistics in Transition New Series , ISSUE 1, 9–24

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

Robust estimation of wages in small enterprises:  the application to Poland’s districts

, especially in domains where samples are of small sizes. These alternative models are supplied with auxiliary variables. The study seeks to present the characteristics of and differences among small business units cross-classified by selected NACE sections and district units of the provinces of Mazowieckie and Wielkopolskie. It was carried out on the basis of data from a survey conducted by the Statistical Office in Poznan and from administrative registers. It is the first study which attempts  to

Grażyna Dehnel, Łukasz Wawrowski

Statistics in Transition New Series , ISSUE 1, 137–157

Article

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

important reasons are weighting for unequal probability of selection, compensation for nonresponse, and post-stratification. Many highly efficient estimation methods in survey sampling require strong information about auxiliary variables, x. The most common estimation methods using auxiliary information in estimation stage are regression and ratio estimator. This paper proposes a sequential data weighting procedure for the estimators of combined ratio mean in complex sample surveys and general variance

Aylin Alkaya, H. Öztaş Ayhan, Alptekin Esin

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

Research Article

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

prediction of finite population totals, see Eideh (2016). The derived parametric predictors of T use the observation for the response set of the study variable or variable of interest, values of auxiliary variables and their population totals, sampling weights, and propensity scores. An interesting outcome of the T study is that most predictors known from model-based survey sampling can be derived as a special case from this general theory, see Chambers and Clark (2012).

Abdulhakeem Eideh

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

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