کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
417209 681468 2008 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A classical and Bayesian estimation of a kk-components load-sharing parallel system
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
A classical and Bayesian estimation of a kk-components load-sharing parallel system
چکیده انگلیسی

The present study proposes the classical and Bayesian treatment to the estimation problem of parameters of a kk-components load-sharing parallel system in which some of the components follow a constant failure-rate and the remaining follow a linearly increasing failure-rate. In the classical setup, the maximum likelihood estimates of the load-share parameters with their variances are obtained. (1−γ)100%(1−γ)100% individual, simultaneous, Bonferroni simultaneous and two bootstrap confidence intervals for the parameters have been constructed. Further, on recognizing the fact that life testing experiments are very time consuming, the parameters involved in the failure time distributions of the system are expected to follow some random variations. Therefore, Bayes estimates along with their posterior variances of the parameters are obtained by assuming gamma and Jeffrey’s invariant priors. Markov Chain Monte Carlo techniques such as a Gibbs sampler have also been used to obtain the Bayes estimates and highest posterior density credible intervals when all the parameters follow gamma priors.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 52, Issue 12, 15 August 2008, Pages 5175–5185
نویسندگان
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