Total Quality Management and Business Excellence, Year (2018-5)

Title : ( Hypothesis testing for the lifetime performance index based on ranked set sampling )

Authors: Samaneh Asghari , Bahram Sadeghpour Gildeh ,

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Abstract

Unreasonable decisions for the lifetime performance index could have serious cost for business. It is important to use an efficient sampling scheme in order to achieve better statistical inference. Ranked set sampling (RSS) is one method to potentially increase precision and reduce costs obtaining a more representative sample. In this paper, RSS and median ranked set sampling are extended for hypothesis testing of the lifetime performance index when the lifetime data have the exponential distribution with mean θ. Critical values for this test are tabulated for introduced sampling schemes and comparisons between sampling schemes are considered by obtaining the power functions. The result indicates that using RSS and median ranked set sampling increases the power of the test.

Keywords

ranked set sampling; lifetime performance index; hypothesis testing; central limit theorem; power function
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@article{paperid:1068952,
author = {Asghari, Samaneh and Sadeghpour Gildeh, Bahram},
title = {Hypothesis testing for the lifetime performance index based on ranked set sampling},
journal = {Total Quality Management and Business Excellence},
year = {2018},
month = {May},
issn = {1478-3363},
keywords = {ranked set sampling; lifetime performance index; hypothesis testing; central limit theorem; power function},
}

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%0 Journal Article
%T Hypothesis testing for the lifetime performance index based on ranked set sampling
%A Asghari, Samaneh
%A Sadeghpour Gildeh, Bahram
%J Total Quality Management and Business Excellence
%@ 1478-3363
%D 2018

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