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Mahdi Rasekhi

Mahdi Rasekhi

Academic rank: Assistant Professor
ORCID:
Education: PhD.
ScopusId:
HIndex:
Faculty: Mathematical Sciences and Statistics
Address:
Phone: 0813-33339843 داخلی 391

Research

Title
استنباط بیزی و کلاسیک بر تابع قابلیت اعتماد چندگانه تحت مدل لجستیک تعمیم یافته
Type
JournalPaper
Keywords
Generalized logistic distribution; multicomponent stress-strength; simulation; MCMC technique; Gibbs and Metropolis Hastings algorithm
Year
2021
Journal COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
DOI
Researchers Mahdi Rasekhi

Abstract

In this paper, a multicomponent system which has k independent and identical strength components X1, X2, :::, Xk is considered. Each component is exposed to a common random stress Y when distributions are generalized logistic. This system is operating or failing only if at least s out of k (1