Statistical Reliability Engineering - Methods, Models and Applications (Hardcover, 1st ed. 2022)

This book presents the state-of-the-art methodology and detailed analytical models and methods used to assess the reliability of complex systems and related applications in statistical reliability engineering. It is a textbook based mainly on the author's recent research and publications as well as experience of over 30 years in this field. The book covers a wide range of methods and models in reliability, and their applications, including: statistical methods and model selection for machine learning; models for maintenance and software reliability; statistical reliability estimation of complex systems; and statistical reliability analysis of k out of n systems, standby systems and repairable systems. Offering numerous examples and solved problems within each chapter, this comprehensive text provides an introduction to reliability engineering graduate students, a reference for data scientists and reliability engineers, and a thorough guide for researchers and instructors in the field.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Springer Series in Reliability Engineering
Release date:	August 2021
First published:	2022
Authors:	Hoang Pham
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	497
Edition:	1st ed. 2022
ISBN-13:	978-3-03-076903-1
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Computing & IT > Computer hardware & operating systems > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Professional & Technical > Mechanical engineering & materials > Production engineering > Reliability engineering Books > Professional & Technical > Civil engineering, surveying & building > Building construction & materials > Security & fire alarm systems Promotions
LSN:	3-03-076903-8
Barcode:	9783030769031

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