Enhancing the Mean Ratio Estimators for Estimating Population Mean Using Non-Conventional Location Parameters

Conventional measures of location are commonly used to develop ratio estimators. However, in this article, we attempt to use some non-conventional location measures. We have incorporated tri-mean, Hodges-Lehmann, and mid-range of the auxiliary variable for this purpose. To enhance the efficiency of...

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Main Authors: MUHAMMAD ABID, NASIR ABBAS, HAFIZ ZAFAR NAZIR, ZHENGYAN LIN
Format: Article
Language:English
Published: Universidad Nacional de Colombia
Series:Revista Colombiana de Estadística
Subjects:
Online Access:http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-17512016000100005&lng=en&tlng=en
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spelling doaj-b2b3e8c015e34f31b63b86bdfe8348f32020-11-25T00:19:32ZengUniversidad Nacional de Colombia Revista Colombiana de Estadística0120-17513916379S0120-17512016000100005Enhancing the Mean Ratio Estimators for Estimating Population Mean Using Non-Conventional Location ParametersMUHAMMAD ABID0NASIR ABBAS1HAFIZ ZAFAR NAZIR2ZHENGYAN LIN3Institute of Statistics, Zhejiang UniversityGovernment College UniversityUniversity of SargodhaInstitute of Statistics, Zhejiang UniversityConventional measures of location are commonly used to develop ratio estimators. However, in this article, we attempt to use some non-conventional location measures. We have incorporated tri-mean, Hodges-Lehmann, and mid-range of the auxiliary variable for this purpose. To enhance the efficiency of the proposed mean ratio estimators, population correlation coefficient, coefficient of variation and the linear combinations of auxiliary variable have also been exploited. The properties associated with the proposed estimators are evaluated through bias and mean square errors. We also provide an empirical study for illustration and verification.http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-17512016000100005&lng=en&tlng=encoeficiente de correlación poblacionalcoeficiente de variaciónerror cuadrático medioestimador de Hodges-Lehmannsesgotrimean
collection DOAJ
language English
format Article
sources DOAJ
author MUHAMMAD ABID
NASIR ABBAS
HAFIZ ZAFAR NAZIR
ZHENGYAN LIN
spellingShingle MUHAMMAD ABID
NASIR ABBAS
HAFIZ ZAFAR NAZIR
ZHENGYAN LIN
Enhancing the Mean Ratio Estimators for Estimating Population Mean Using Non-Conventional Location Parameters
Revista Colombiana de Estadística
coeficiente de correlación poblacional
coeficiente de variación
error cuadrático medio
estimador de Hodges-Lehmann
sesgo
trimean
author_facet MUHAMMAD ABID
NASIR ABBAS
HAFIZ ZAFAR NAZIR
ZHENGYAN LIN
author_sort MUHAMMAD ABID
title Enhancing the Mean Ratio Estimators for Estimating Population Mean Using Non-Conventional Location Parameters
title_short Enhancing the Mean Ratio Estimators for Estimating Population Mean Using Non-Conventional Location Parameters
title_full Enhancing the Mean Ratio Estimators for Estimating Population Mean Using Non-Conventional Location Parameters
title_fullStr Enhancing the Mean Ratio Estimators for Estimating Population Mean Using Non-Conventional Location Parameters
title_full_unstemmed Enhancing the Mean Ratio Estimators for Estimating Population Mean Using Non-Conventional Location Parameters
title_sort enhancing the mean ratio estimators for estimating population mean using non-conventional location parameters
publisher Universidad Nacional de Colombia
series Revista Colombiana de Estadística
issn 0120-1751
description Conventional measures of location are commonly used to develop ratio estimators. However, in this article, we attempt to use some non-conventional location measures. We have incorporated tri-mean, Hodges-Lehmann, and mid-range of the auxiliary variable for this purpose. To enhance the efficiency of the proposed mean ratio estimators, population correlation coefficient, coefficient of variation and the linear combinations of auxiliary variable have also been exploited. The properties associated with the proposed estimators are evaluated through bias and mean square errors. We also provide an empirical study for illustration and verification.
topic coeficiente de correlación poblacional
coeficiente de variación
error cuadrático medio
estimador de Hodges-Lehmann
sesgo
trimean
url http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-17512016000100005&lng=en&tlng=en
work_keys_str_mv AT muhammadabid enhancingthemeanratioestimatorsforestimatingpopulationmeanusingnonconventionallocationparameters
AT nasirabbas enhancingthemeanratioestimatorsforestimatingpopulationmeanusingnonconventionallocationparameters
AT hafizzafarnazir enhancingthemeanratioestimatorsforestimatingpopulationmeanusingnonconventionallocationparameters
AT zhengyanlin enhancingthemeanratioestimatorsforestimatingpopulationmeanusingnonconventionallocationparameters
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