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The aim of the present book is to give a comprehensive up-to-date presentation of some of the classical areas of reliability, based on a more advanced probabilistic framework using the modern theory of stochastic processes. This framework allows the analyst to formulate general failure models, establish formulae for computing various performance measures, as well as to determine how to identify optimal replacement policies in complex situations.

Produktbeschreibung
The aim of the present book is to give a comprehensive up-to-date presentation of some of the classical areas of reliability, based on a more advanced probabilistic framework using the modern theory of stochastic processes. This framework allows the analyst to formulate general failure models, establish formulae for computing various performance measures, as well as to determine how to identify optimal replacement policies in complex situations.
Autorenporträt
Prof. Dr. rer. nat. Uwe Jensen ist 1950 in Bremen geboren worden. Von 1971 bis 1976 Studium der Mathematik mit den Nebenfächern Physik und Betriebswirtschaftslehre an der TU Braunschweig, Diplom 1976. Tätigkeit als Versicherungsmathematiker in Frankfurt/Main 1976/77. Seit 1977 tätig an der Universität Hohenheim in Stuttgart, Promotion 1979, Habilitation 1987. Vertretung des Lehrstuhls Stochastik an der TU München 1993/94 und einer Professur Stochastik an der Universität Ulm 1995 bis 2003. Forschungsinteressen in mathematischer Zuverlässigkeitstheorie, Softwarezuverlässigkeit, Survival Analysis, Statistik stochastischer Prozesse. Veröffentlichung von 6 Büchern als Koautor oder Mitherausgeber und von über 50 wissenschaftlichen Artikeln in internationalen Journalen (Publikationsliste auf der Homepage).
Rezensionen
This is an excellent book on mathematical, statistical and stochastic models in reliability. The authors have done an excellent job of unifying some of the stochastic models in reliability. The book is a good reference book but may not be suitable as a textbook for students in professional fields such as engineering.

This book may be used for graduate level seminar courses for students who have had at least the first course in stochastic processes and some knowledge of reliability mathematics. It should be a good reference book for researchers in reliability mathematics.

--Mathematical Reviews
 This is an excellent book on mathematical, statistical and stochastic models in reliability. The authors have done an excellent job of unifying some of the stochastic models in reliability. The book is a good reference book but may not be suitable as a textbook for students in professional fields such as engineering. This book may be used for graduate level seminar courses for students who have had at least the first course in stochastic processes and some knowledge of reliability mathematics. It should be a good reference book for researchers in reliability mathematics. --Mathematical Reviews