Title : ( Comparison of two sampling schemes for generating record-breaking data from the proportional hazard rate models )
Authors: Seyed Mahdi Salehi , Jafar Ahmadi , Sanku Dey ,
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Abstract
In this paper, we consider a sampling scheme in record-breaking data set up, as record ranked set sampling. We compare the proposed sampling with the well-known sampling scheme in record values known as inverse sampling scheme when the underlying distribution follows the proportional hazard rate model. Various point estimators are obtained in each sampling schemes and compared with respect to mean squared error and Pitman measure of closeness criteria. It is observed in most of the situations that the new sampling scheme provides more efficient estimators than their counterparts. Finally, one data set has been analyzed for illustrative purposes.
Keywords
, Record values, Mean square error, Pitman measure of closeness
@article{paperid:1040701,
author = {Salehi, Seyed Mahdi and Ahmadi, Jafar and Sanku Dey},
title = {Comparison of two sampling schemes for generating record-breaking data from the proportional hazard rate models},
journal = {Communications in Statistics - Theory and Methods},
year = {2016},
volume = {45},
number = {13},
month = {December},
issn = {0361-0926},
pages = {3721--3733},
numpages = {12},
keywords = {Record values; Mean square error; Pitman measure of closeness},
}
%0 Journal Article
%T Comparison of two sampling schemes for generating record-breaking data from the proportional hazard rate models
%A Salehi, Seyed Mahdi
%A Ahmadi, Jafar
%A Sanku Dey
%J Communications in Statistics - Theory and Methods
%@ 0361-0926
%D 2016
