Improved Classes of Estimators for Ratio of Two Means with Double Sampling the non Respondents

In this paper, we have considered the problem of estimation of ratio of two population means (R) using multivariate auxiliary characters with known population means under incomplete information. Following Tripathi (1970) and Tripathi and Chaturvedi (1979), general classes of estimators for estimatin...

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Bibliographic Details
Main Authors: Brij Behari Khare, Raghaw Raman Sinha
Format: Article
Language:English
Published: Czech Statistical Office 2012-09-01
Series:Statistika: Statistics and Economy Journal
Subjects:
Online Access:http://www.czso.cz/csu/2012edicniplan.nsf/engt/83003FFCE9/$File/e-180212q3k06.pdf
Description
Summary:In this paper, we have considered the problem of estimation of ratio of two population means (R) using multivariate auxiliary characters with known population means under incomplete information. Following Tripathi (1970) and Tripathi and Chaturvedi (1979), general classes of estimators for estimating R using multi-variate auxiliary characters under incomplete information have been proposed and their properties are studied. The expressions of the conditions for attaining minimum mean square error of the proposed classes of estimators have been derived and the minimum values of their mean square errors are given. The justifi cation for using the proposed classes of estimators has been given effi ciently with the help of theoretical and empirical studies.
ISSN:1804-8765