Fr. 276.00

Practical Methods for Reliability Data Analysis

Inglese · Copertina rigida

Spedizione di solito entro 1 a 3 settimane (non disponibile a breve termine)

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Zusatztext The reviewer believes that practitioners of reliability data analysis will find this book very useful.Zentralblatt fur Mathematik Klappentext This practical introduction to the analysis of data collected from reliability studies offers clear, detailed explanations of the best and most up-to-date techniques available. Topics include survival analysis with covariates, the assessment of systems performance, reliability growth models, dependency (which encompasses both engineering and statistical approaches), and practical aspects of analysis. A wealth of interesting case studies appear throughout the text, lending "real-world" examples to the more theoretical discussions. Throughout, the authors stress the need for investigators to understand the background and nature of their data if they are to select the most appropriate analysis method. They also provide in-depth treatments of the mathematical and statistical bases underlying each technique. Accessible and comprehensive, the book will be welcomed by students, professionals, and statisticians who are interested in the practical aspects of reliability data analysis. Zusammenfassung This gives practical and extensive coverage of Reliability Data Analysis using real realiability data to illustrate the statistical methods. Survival analysis, growth models, dependency and systems behaviour are covered, with much background to assist the reader. Inhaltsverzeichnis 1: Introduction to reliability 2: Lifetime distributions 3: Analysis of lifetimes with covariates 4: System reliability 5: Stochastic models for repairable systems 6: Analysis of repairable systems 7: Growth and adaptive models 8: Dependency analysis 9: Practical aspects of reliability data analysis 10: Case studies in reliability Bibliography Index

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