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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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
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author Brij Behari Khare
Raghaw Raman Sinha
author_facet Brij Behari Khare
Raghaw Raman Sinha
author_sort Brij Behari Khare
collection DOAJ
description 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.
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spelling doaj.art-374314867846482c88da77f39ee67ff72022-12-22T00:12:29ZengCzech Statistical OfficeStatistika: Statistics and Economy Journal1804-87652012-09-014937583Improved Classes of Estimators for Ratio of Two Means with Double Sampling the non RespondentsBrij Behari KhareRaghaw Raman SinhaIn 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.http://www.czso.cz/csu/2012edicniplan.nsf/engt/83003FFCE9/$File/e-180212q3k06.pdfRatioauxiliary charactersbiasmean square errorincomplete information
spellingShingle Brij Behari Khare
Raghaw Raman Sinha
Improved Classes of Estimators for Ratio of Two Means with Double Sampling the non Respondents
Statistika: Statistics and Economy Journal
Ratio
auxiliary characters
bias
mean square error
incomplete information
title Improved Classes of Estimators for Ratio of Two Means with Double Sampling the non Respondents
title_full Improved Classes of Estimators for Ratio of Two Means with Double Sampling the non Respondents
title_fullStr Improved Classes of Estimators for Ratio of Two Means with Double Sampling the non Respondents
title_full_unstemmed Improved Classes of Estimators for Ratio of Two Means with Double Sampling the non Respondents
title_short Improved Classes of Estimators for Ratio of Two Means with Double Sampling the non Respondents
title_sort improved classes of estimators for ratio of two means with double sampling the non respondents
topic Ratio
auxiliary characters
bias
mean square error
incomplete information
url http://www.czso.cz/csu/2012edicniplan.nsf/engt/83003FFCE9/$File/e-180212q3k06.pdf
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