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Estimation of Finite Population Mean using Two Auxiliary Variables in the Presence of Non-Response and Measurement Errors

Manoj K. Chaudhary, +1 more
- 01 Jan 2021 - 
- Vol. 10, Iss: 2, pp 579-586
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This article is published in Journal of Statistics Applications & Probability.The article was published on 2021-01-01. It has received 0 citations till now. The article focuses on the topics: Observational error.

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Journal ArticleDOI

Estimation in the Presence of Measurement Error

TL;DR: The importance of measurement error for parameter estimation and for the design of statistical studies, particularly sample surveys, is examined in this article, where the authors focus on estimation problems in which measurement error leads to bias in the usual estimators.
Journal ArticleDOI

Estimation of mean in presence of non-response using two phase sampling scheme

TL;DR: In this article, the problem of estimating the population mean using information on an auxiliary variable in presence of non-response is considered and some modified ratio, product and regression estimators in double sampling have been suggested and their properties are studied.
Journal Article

A general procedure of estimating the population mean in the presence of non-response under double sampling using auxiliary information

TL;DR: In this article, a general class of estimators for population mean of the study variable in the presence of non-response using auxiliary information under double sampling was proposed, and the expression of mean squared error (MSE) was derived under double (two-stage) sampling.
Journal ArticleDOI

Estimation of Mean, Ratio and Product Using Auxiliary Information in the Presence of Measurement Errors in Sample Surveys

TL;DR: In this article, a class of estimators for estimating the general parameter R (α) has been defined and asymptotic expressions for its bias and mean squared error have been obtained.
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