9780996646819-0996646817-Probability Distributions Used in Reliability Engineering

Probability Distributions Used in Reliability Engineering

ISBN-13: 9780996646819
ISBN-10: 0996646817
Author: Mohammad Modarres, Andrew N OConnor, Ali Mosleh
Publication date: 2019
Publisher: DML International
Format: Paperback 214 pages
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Book details

ISBN-13: 9780996646819
ISBN-10: 0996646817
Author: Mohammad Modarres, Andrew N OConnor, Ali Mosleh
Publication date: 2019
Publisher: DML International
Format: Paperback 214 pages

Summary

Probability Distributions Used in Reliability Engineering (ISBN-13: 9780996646819 and ISBN-10: 0996646817), written by authors Mohammad Modarres, Andrew N OConnor, Ali Mosleh, was published by DML International in 2019. With an overall rating of 4.1 stars, it's a notable title among other Industrial, Manufacturing & Operational Systems (Engineering) books. You can easily purchase or rent Probability Distributions Used in Reliability Engineering (Paperback) from BooksRun, along with many other new and used Industrial, Manufacturing & Operational Systems books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This book discusses the probability distributions used in reliability engineering and risk analysis. For each distribution, the book provides graphical visualization and related formulas, along with the corresponding reliability functions and other related formulas. Common statistics such as moments and confidence interval formulas are presented, including the likelihood functions. For the most important distributions, the book provides derivation of the maximum likelihood estimates. Bayesian estimations using non-informative and conjugate priors are provided, followed by a discussion on the distribution characteristics and applications to reliability engineering. The book includes numerical examples for each distribution, demonstrating applications of the distribution function in the context of reliability engineering and risk analysis problems. Each section concludes with online resources and hardcopy references for further information, followed by the relationship of each distribution to other distributions.

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