سیزدهمین کنفرانس آمار ایران , 2016-08-24

Title : ( Progressively Sequential Order Statistics )

Authors: Mahdy Esmailian , Mahdi Doostparast ,

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The sequential order statistics (SOSs) are usually used to modeling the lifetime of the sequential (n-r + 1)-out-of-n systems. In this article, we discuss the concept of progressive sequential order statistics (PSOS) as an extension of the SOS for providing more flexibility in analysis and design of engineering systems. The proposed model comes from a combination of progressive censoring and SOS. An explicit expression for the likelihood function of the PSOS data is derived. While the lifetimes of the components follow the Rayleigh distribution, the problem of parameters estimation is studied in a greater detail under the conditional proportional hazard rate model. An algorithm for generating PSOS data is suggested for simulation studies.

Keywords

, Conditional proportional hazard rate model, Maximum likelihood estimation, Progressive order statistics, Sequential order
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@inproceedings{paperid:1058146,
author = {Esmailian, Mahdy and Doostparast, Mahdi},
title = {Progressively Sequential Order Statistics},
booktitle = {سیزدهمین کنفرانس آمار ایران},
year = {2016},
location = {کرمان, IRAN},
keywords = {Conditional proportional hazard rate model; Maximum likelihood estimation; Progressive order statistics; Sequential order statistics},
}

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%0 Conference Proceedings
%T Progressively Sequential Order Statistics
%A Esmailian, Mahdy
%A Doostparast, Mahdi
%J سیزدهمین کنفرانس آمار ایران
%D 2016

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