Ratio-cum-product type exponential estimator

This paper addresses the problem of estimating the population mean of the study variate Y using information on two auxiliary variables X1 and X2 . A ratio-cum-product type exponential estimator has been suggested and its bias and mean squared error have been derived under large sample approximation....

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Main Authors: Housila P. Singh, L. N. Upadhyaya, Rajesh Tailor
Format: Article
Language:English
Published: University of Bologna 2013-05-01
Series:Statistica
Online Access:http://rivista-statistica.unibo.it/article/view/3561
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author Housila P. Singh
L. N. Upadhyaya
Rajesh Tailor
author_facet Housila P. Singh
L. N. Upadhyaya
Rajesh Tailor
author_sort Housila P. Singh
collection DOAJ
description This paper addresses the problem of estimating the population mean of the study variate Y using information on two auxiliary variables X1 and X2 . A ratio-cum-product type exponential estimator has been suggested and its bias and mean squared error have been derived under large sample approximation. An almost unbiased ratio-cum-product type exponential estimator has also been derived by using Jackknife technique envisaged by Quenouille (1956). A generalized version of the ratio-cum-product exponential estimator has also been given along with its properties. Numerical illustration is given in support of the present study.
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spelling doaj.art-d608e08687a4465ca508bb3f7dc6705a2022-12-22T03:58:42ZengUniversity of BolognaStatistica0390-590X1973-22012013-05-0169429931010.6092/issn.1973-2201/35613307Ratio-cum-product type exponential estimatorHousila P. Singh0L. N. Upadhyaya1Rajesh Tailor2School of Studies in Statistics - Vikram University, UjjainDepartment of Applied Mathematics - Indian School of Mines, Dhanbad, JharkhandSchool of Studies in Statistics - Vikram University, UjjainThis paper addresses the problem of estimating the population mean of the study variate Y using information on two auxiliary variables X1 and X2 . A ratio-cum-product type exponential estimator has been suggested and its bias and mean squared error have been derived under large sample approximation. An almost unbiased ratio-cum-product type exponential estimator has also been derived by using Jackknife technique envisaged by Quenouille (1956). A generalized version of the ratio-cum-product exponential estimator has also been given along with its properties. Numerical illustration is given in support of the present study.http://rivista-statistica.unibo.it/article/view/3561
spellingShingle Housila P. Singh
L. N. Upadhyaya
Rajesh Tailor
Ratio-cum-product type exponential estimator
Statistica
title Ratio-cum-product type exponential estimator
title_full Ratio-cum-product type exponential estimator
title_fullStr Ratio-cum-product type exponential estimator
title_full_unstemmed Ratio-cum-product type exponential estimator
title_short Ratio-cum-product type exponential estimator
title_sort ratio cum product type exponential estimator
url http://rivista-statistica.unibo.it/article/view/3561
work_keys_str_mv AT housilapsingh ratiocumproducttypeexponentialestimator
AT lnupadhyaya ratiocumproducttypeexponentialestimator
AT rajeshtailor ratiocumproducttypeexponentialestimator