A family of estimators of population mean using multi-auxiliary variate and post-stratification

Author:

Vishwakarma Gajendra K.,Singh Housila P.,Singh Sarjinder

Abstract

This paper suggests a family of estimators of population mean using multiauxiliary variate based on post-stratified sampling and its properties are studied under large sample approximation. Asymptotically optimum estimator in the class is identified alongwith its approximate variance formulae. The proposed class of estimators is also compared with corresponding unstratified class of estimators based on estimated optimum value. At the end, an empirical study has been carried out to support the proposed methodology.

Publisher

Vilnius University Press

Subject

Applied Mathematics,Analysis

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An alternative to ratio estimator in post-stratification;Communications in Statistics - Theory and Methods;2017-10-04

2. Estimation in Post-stratification;Proceedings of the National Academy of Sciences, India Section A: Physical Sciences;2017-06-01

3. On the efficiency of ratio estimator over the regression estimator;Communications in Statistics - Theory and Methods;2016-06-02

4. On Some Families of Estimators of Variance of Post-Stratified Sample Mean Using Two Auxiliary Variables;Communications in Statistics - Theory and Methods;2015-06-03

5. A general procedure for estimating the mean using double sampling for stratification and multi-auxiliary information;Journal of Statistical Planning and Inference;2012-05

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