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From the reviews:
"This book is a major work for studying and learning reliability theory. ... The book is aimed at graduate students or researchers in reliability or applied probability, engineering, mathematics, and statistics. ... this book is an extremely valuable contribution to the literature on reliability. It is very well written, and will have a major impact on future research in reliability. It is up-to-date and gives the reader excellent insight into important areas." (Myron Hlynka, Mathematical Reviews, January, 2014)
"In the framework of stochastic modeling for reliability a combination of the three areas shock models, burn-in and stochastic modeling in heterogeneous populations is presented. ... The book can be recommended for reliability engineers, statisticians working in reliability engineering, as well as for courses in advanced methods for reliability models and methods." (Kurt Marti, zbMATH, Vol. 1271, 2013)
"This book is a major work for studying and learning reliability theory. ... The book is aimed at graduate students or researchers in reliability or applied probability, engineering, mathematics, and statistics. ... this book is an extremely valuable contribution to the literature on reliability. It is very well written, and will have a major impact on future research in reliability. It is up-to-date and gives the reader excellent insight into important areas." (Myron Hlynka, Mathematical Reviews, January, 2014)
"In the framework of stochastic modeling for reliability a combination of the three areas shock models, burn-in and stochastic modeling in heterogeneous populations is presented. ... The book can be recommended for reliability engineers, statisticians working in reliability engineering, as well as for courses in advanced methods for reliability models and methods." (Kurt Marti, zbMATH, Vol. 1271, 2013)