An Improved Class of Chain Ratio-Product Type Estimators in Two-Phase Sampling Using Two Auxiliary Variables

This paper presents a technique for estimating finite population mean of the study variable in the presence of two auxiliary variables using two-phase sampling scheme when the regression line does not pass through the neighborhood of the origin. The properties of the proposed class of estimators ar...

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Main Authors: Gajendra K. Vishwakarma, Manish Kumar
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Probability and Statistics
Online Access:http://dx.doi.org/10.1155/2014/939701
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author Gajendra K. Vishwakarma
Manish Kumar
author_facet Gajendra K. Vishwakarma
Manish Kumar
author_sort Gajendra K. Vishwakarma
collection DOAJ
description This paper presents a technique for estimating finite population mean of the study variable in the presence of two auxiliary variables using two-phase sampling scheme when the regression line does not pass through the neighborhood of the origin. The properties of the proposed class of estimators are studied under large sample approximation. In addition, bias and efficiency comparisons are carried out to study the performances of the proposed class of estimators over the existing estimators. It has also been shown that the proposed technique has greater applicability in survey research. An empirical study is carried out to demonstrate the performance of the proposed estimators.
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institution Kabale University
issn 1687-952X
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spelling doaj-art-7d109752c8c942cbbb02d728d0b794002025-02-03T01:03:42ZengWileyJournal of Probability and Statistics1687-952X1687-95382014-01-01201410.1155/2014/939701939701An Improved Class of Chain Ratio-Product Type Estimators in Two-Phase Sampling Using Two Auxiliary VariablesGajendra K. Vishwakarma0Manish Kumar1Department of Applied Mathematics, Indian School of Mines, Dhanbad, Jharkhand 826004, IndiaDepartment of Applied Mathematics, Indian School of Mines, Dhanbad, Jharkhand 826004, IndiaThis paper presents a technique for estimating finite population mean of the study variable in the presence of two auxiliary variables using two-phase sampling scheme when the regression line does not pass through the neighborhood of the origin. The properties of the proposed class of estimators are studied under large sample approximation. In addition, bias and efficiency comparisons are carried out to study the performances of the proposed class of estimators over the existing estimators. It has also been shown that the proposed technique has greater applicability in survey research. An empirical study is carried out to demonstrate the performance of the proposed estimators.http://dx.doi.org/10.1155/2014/939701
spellingShingle Gajendra K. Vishwakarma
Manish Kumar
An Improved Class of Chain Ratio-Product Type Estimators in Two-Phase Sampling Using Two Auxiliary Variables
Journal of Probability and Statistics
title An Improved Class of Chain Ratio-Product Type Estimators in Two-Phase Sampling Using Two Auxiliary Variables
title_full An Improved Class of Chain Ratio-Product Type Estimators in Two-Phase Sampling Using Two Auxiliary Variables
title_fullStr An Improved Class of Chain Ratio-Product Type Estimators in Two-Phase Sampling Using Two Auxiliary Variables
title_full_unstemmed An Improved Class of Chain Ratio-Product Type Estimators in Two-Phase Sampling Using Two Auxiliary Variables
title_short An Improved Class of Chain Ratio-Product Type Estimators in Two-Phase Sampling Using Two Auxiliary Variables
title_sort improved class of chain ratio product type estimators in two phase sampling using two auxiliary variables
url http://dx.doi.org/10.1155/2014/939701
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AT gajendrakvishwakarma improvedclassofchainratioproducttypeestimatorsintwophasesamplingusingtwoauxiliaryvariables
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