2015Unpublished venueRequires access

A Class of Chain Type Estimators for Population Mean using two Auxiliary Variables in the Presence of Non-Response

Narendra Kumar, Ashish Sharma, Udai Pratap

Open publisher page 0 citations

Abstract

This paper discusses the problem of estimation of population mean in the case of non-response in double sampling. Here we obtained the mean square error and relative bias of the suggested class of estimators. The comparison of the suggested class of estimators to other relevant estimators is also derived. The suggested class of estimators found to be more efficient as compare to another estimators obtained by applying suitable values of some constant. An empirical study is also carried out to show the performance of the suggested estimators.

About this research paper

What this paper is about

This paper discusses the problem of estimation of population mean in the case of non-response in double sampling. Here we obtained the mean square error and relative bias of the suggested class of estimators. The comparison of the suggested class of estimators to other relevant estimators is also derived. The suggested class of estimators found to be more efficient as compare to another estimators obtained by applying suitable values of some constant. An empirical study is also carried out to show the performance of the suggested estimators.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This paper discusses the problem of estimation of population mean in the case of non-response in double sampling. Here we obtained the mean square error and relative bias of the suggested class of estimators. The comparison of the suggested class of estimators to other relevant estimators is also derived. The suggested class of estimators found to be more efficient as compare to another estimators obtained by applying suitable values of some constant. An empirical study is also carried out to show the performance of the suggested estimators.

Key concepts: Estimator, Population mean, Extremum estimator, Mathematics, Statistics, Class (philosophy), Mean squared error, Constant (computer programming)

Related papers

Back to paper searchBrowse research topicsOriginal source
A Class of Chain Type Estimators for Population Mean using two Auxiliary Variables in the Presence of Non-Response — Research Paper | ScholarLens