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  • Statistics In Transition

 

Research paper | 31-October-2017

IMPROVED SEPARATE RATIO AND PRODUCT EXPONENTIAL TYPE ESTIMATORS IN THE CASE OF POST-STRATIFICATION

This paper addressed the problem of estimation of finite population mean in the case of post-stratification. Improved separate ratio and product exponential type estimators in the case of post-stratification are suggested. The biases and mean squared errors of the suggested estimators are obtained up to the first degree of approximation. Theoretical and empirical studies have been done to demonstrate better efficiencies of the suggested estimators than other considered estimators.

Hilal A. Lone, Rajesh Tailor

Statistics in Transition New Series, Volume 16 , ISSUE 1, 53–64

Research Communicate | 18-March-2020

Generalized exponential estimators for the finite population mean

Tolga Zaman

Statistics in Transition New Series, Volume 21 , ISSUE 1, 159–168

Article | 06-July-2017

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

J. Subramani

Statistics in Transition New Series, Volume 17 , ISSUE 4, 591–604

Research Article | 18-March-2020

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

Rohini Yadav, Rajesh Tailor

Statistics in Transition New Series, Volume 21 , ISSUE 1, 1–12

Sampling Methods | 22-July-2018

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, Volume 19 , ISSUE 2, 259–276

Research paper | 01-November-2017

SMALL AREA ESTIMATES OF THE POPULATION DISTRIBUTION BY ETHNIC GROUP IN ENGLAND: A PROPOSAL USING STRUCTURE PRESERVING ESTIMATORS

This paper addresses the problem of producing small area estimates of Ethnicity by Local Authority in England. A Structure Preserving approach is proposed, making use of the Generalized Structure Preserving Estimator. In order to identify the best way to use the available aggregate information, three fixed effects models with increasing levels of complexity were tested. Finite Population Mean Square Errors were estimated using a bootstrap approach. However, more complex models did not perform

Angela Luna, Li-Chun Zhang, Alison Whitworth, Kirsten Piller

Statistics in Transition New Series, Volume 16 , ISSUE 4, 585–602

Research paper | 31-October-2017

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, Volume 16 , ISSUE 2, 183–202

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