Title : ( Dynamic Systems with Baseline Exponential Distribution Based on Sequential Order Statistics Under a Power Trend for Hazard Rates )
Authors: Majid Hashempour , Mahdi Doostparast ,
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Abstract
This paper deals with analyzing dynamic engineering systems consisting of independent components. The failure of a components causes more load on the surviving components. This property is modeled by a power trend conditionally proportional hazard rates. For modeling system lifetimes, the theory of sequential order statistics can be used. Sequential order statistics coming from heterogeneous exponential distributions are considered. The maximum likelihood and Bayesian estimates of the parameters are obtained in different cases. The generalized likelihood ratio and the Bayesian tests are also derived for testing homogeneity of the baseline exponential component lifetimes arising from independent engineering systems.
Keywords
, Proportional hazard rates, Hypotheses testing, Sequential order statistics, Estimation
@article{paperid:1079202,
author = {مجید هاشم پور and Doostparast, Mahdi},
title = {Dynamic Systems with Baseline Exponential Distribution Based on Sequential Order Statistics Under a Power Trend for Hazard Rates},
journal = {Journal of Statistical Theory and Applications},
year = {2020},
volume = {19},
number = {1},
month = {January},
issn = {1538-7887},
pages = {1--9},
numpages = {8},
keywords = {Proportional hazard rates; Hypotheses testing; Sequential order statistics; Estimation},
}
%0 Journal Article
%T Dynamic Systems with Baseline Exponential Distribution Based on Sequential Order Statistics Under a Power Trend for Hazard Rates
%A مجید هاشم پور
%A Doostparast, Mahdi
%J Journal of Statistical Theory and Applications
%@ 1538-7887
%D 2020
