Publications

Share / Export Citation / Email / Print / Text size:

Statistics in Transition New Series

An International Journal of the Polish Statistical Association

Polish Statistical Association

Central Statistical Office of Poland

Subject: Economics , Statistics & Probability

GET ALERTS

ISSN: 1234-7655
eISSN: 2450-0291

DESCRIPTION

FEATURED ARTICLES

SUBJECTIVE AND COMMUNITY WELL-BEING INTERACTION IN A MULTILEVEL SPATIAL  MODELLING FRAMEWORK
LINEAR CHOLESKY DECOMPOSITION OF COVARIANCE MATRICES IN MIXED MODELS WITH CORRELATED RANDOM EFFECTS

VOLUME 17 , ISSUE 4 (December 2016) - List of articles

FROM THE EDITOR

Włodzimierz Okrasa

DOI: 10.21307/stattrans-2016-041

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

J. Subramani

The present paper deals with a new median based ratio estimator for the estimation of finite population means in the absence of an auxiliary variable. The bias and mean squared error of the proposed median based ratio estimator are obtained. The performance of the median based ratio estimator is compared with that of the SRSWOR sample mean, ratio estimator and linear regression estimator for certain natural population. It is shown from the numerical comparisons that the proposed median based rat(..)

DOI: 10.21307/stattrans-2016-042

A NEW FAMILY OF ESTIMATORS OF THE POPULATION VARIANCE USING INFORMATION ON POPULATION VARIANCE OF AUXILIARY VARIABLE IN SAMPLE SURVEYS

Housila P. Singh/ Surya K. Pal

This paper proposes a family of estimators of population variance 2 y S of the study variable y in the presence of known population variance 2 x S of the auxiliary variable x. It is identified that in addition to many, the recently proposed classes of estimators due to Sharma and Singh (2014) and Singh and Pal (2016) are members of the proposed family of estimators. Asymptotic expressions of bias and mean squared error (MSE) of the suggested family of estimators have been obtained. Asymptotic op(..)

DOI: 10.21307/stattrans-2016-043

SHIFT IN METHODOLOGY AND POPULATION CENSUS QUALITY

Elżbieta Gołata

The article refers to the shift in methods to conduct a population census: from a conventional enumeration through a sample survey and a mixed approach to administrative data, as a new standard in statistics. The paper compares two Polish censuses of 2002 and 2011. It is aimed at quality assessment in the case of both: the traditional method (2002 census) and the combined approach (2011 census). The quality of census data is discussed with essential aims and objectives to provide reliable inform(..)

DOI: 10.21307/stattrans-2016-044

MODELLING ROAD TRAFFIC CRASHES USING SPATIAL AUTOREGRESSIVE MODEL WITH ADDITIONAL ENDOGENOUS VARIABLE

Olusanya Elisa Olubusoye/ Grace Oluwatoyin Korter/ Afees Adebare Salisu

Road traffic crashes have become a global issue of concern because of the number of deaths and injuries. The model of interest is a linear cross sectional Spatial Autoregressive (SAR) model with additional endogenous variables, exogenous variables and SAR disturbances. The focus is on RTC in Oyo state, Nigeria. The number of RTC in each LGA of the state is the dependent variable. A 33×33 weights matrix; travel density; land area and major road length of each LGA were used as exogenous variables (..)

DOI: 10.21307/stattrans-2016-045

BAYESIAN ACCELERATED FAILURE TIME AND ITS APPLICATION IN CHEMOTHERAPY DRUG TREATMENT TRIAL

Kumar Prabhash/ Vijay M Patil/ Vanita Noronha/ Amit Joshi/ Atanu Bhattacharjee

The Cox proportional hazards model (CPH) is normally applied in clinical trial data analysis, but it can generate severe problems with breaking the proportion hazard assumption. An accelerated failure time (AFT) is consid-ered as an alternative to the proportional hazard model. The model can be used through consideration of dierent covariates of interest and random ef- fects in each section. The model is simple to t by using OpenBugs software and is revealed to be a good t to the Chemotherapy da(..)

DOI: 10.21307/stattrans-2016-046

CALENDAR AND SEASONAL EFFECTS ON THE SIZE OF WITHDRAWALS FROM ATMS MANAGED BY EURONET

Henryk Gurgul/ Marcin Suder

This study analyses the calendar effects on withdrawals from Automated Teller Machines (ATMs) (daily data) managed by the Euronet network for the period from January 2008 to March 2012. Our study focuses on the identification of specific calendar and seasonal effects in the ATM cash withdrawal series of the company in the Polish provinces of Małopolska and Podkarpackie. The results of the analysis show that withdrawals depend strongly on the day of the week. On Fridays more cash is withdrawn tha(..)

DOI: 10.21307/stattrans-2016-047

THE IDENTIFICATION OF TRAINING NEEDS FOR  HUMAN CAPITAL QUALITY IMPROVEMENT IN POLAND – A STATISTICAL APPROACH

Marta Dziechciarz–Duda/ Józef Dziechciarz

The Ministry of Science and Higher Education has launched the Competency De-velopment Programme in the form of additional financial means for activities to equip students with unique, the so-called soft skills necessary in scientific careers and on the labour market. Courses developing skills such as team work ability, leadership, creativity, independent thinking and innovative approach to problem solving will be financed. For that purpose, a thorough analysis of needs is necessary. Existing dat(..)

DOI: 10.21307/stattrans-2016-048

INTERVAL ESTIMATION OF HIGHER ORDER QUANTILES. ANALYSIS OF ACCURACY OF SELECTED PROCEDURES

Dorota Pekasiewicz

In the paper selected nonparametric and semiparametric estimation methods of higher orders quantiles are considered. The construction of nonparametric confidence intervals is based on order statistics of appropriate ranks from random samples or from generated bootstrap samples. Semiparametric bootstrap methods are characterized by double bootstrap simulations. The values of bootstrap sample below the prearranged threshold are generated by the empirical distribution and the values above this thre(..)

DOI: 10.21307/stattrans-2016-049

M-ESTIMATORS IN BUSINESS STATISTICS

Grażyna Dehnel

Recent years have seen a dynamic development in statistical methods for analysing data contaminated with outliers. One of the more important techniques that can deal with outlying observations is robust regression, which represents four decades of research. Until recently the implementation of robust regression methods, such as M-estimation or MM-estimation, was limited owing to their iterative nature. With advances in computing power and the growing availability of statistical packages, such as(..)

DOI: 10.21307/stattrans-2016-050

INFORMATIVE VERSUS NON-INFORMATIVE PRIOR DISTRIBUTIONS AND THEIR IMPACT ON THE ACCURACY OF BAYESIAN INFERENCE

Wioletta Grzenda

In this study the benefits arising from the use of the Bayesian approach to predictive modelling will be outlined and exemplified by a linear regression model and a logistic regression model. The impact of informative and non-informative prior on model accuracy will be examined and compared. The data from the Central Statistical Office of Poland describing unemployment in individual districts in Poland will be used. Markov Chain Monte Carlo methods (MCMC) will be employed in modelling.

DOI: 10.21307/stattrans-2016-051

ABOUT THE AUTHORS

DOI: 10.21307/stattrans-2016-054

ACKNOWLEDGEMENTS TO REVIEWERS

DOI: 10.21307/stattrans-2016-055

No Record Found..
Page Actions