Statistical Reliability Engineering (e-bog) af Pham, Hoang
Pham, Hoang

Statistical Reliability Engineering e-bog

583,01 DKK
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 rel…
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.
E-bog 583,01 DKK
Forfattere Pham, Hoang (forfatter)
Forlag Springer
Udgivet 13.08.2021
Genrer Management and management techniques
Sprog English
Format epub
Beskyttelse LCP
ISBN 9783030769048

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.