Statistical Methods for Reliability Data

Bringing statistical methods for reliability testing in line with the computer age This volume presents state-of-the-art, computer-based statistical methods for reliability data analysis and test planning for industrial products. Statistical Methods for Reliability Data updates and improves established techniques as it demonstrates how to apply the new graphical, numerical, or simulation-based methods to a broad range of models encountered in reliability data analysis. It includes methods for planning reliability studies and analyzing degradation data, simulation methods used to complement large-sample asymptotic theory, general likelihood-based methods of handling arbitrarily censored data and truncated data, and more. In this book, engineers and statisticians in industry and academia will find:
* A wealth of information and procedures developed to give products a competitive edge
* Simple examples of data analysis computed with the S-PLUS system-for which a suite of functions and commands is available over the Internet
* End-of-chapter, real-data exercise sets
* Hundreds of computer graphics illustrating data, results of analyses, and technical concepts
An essential resource for practitioners involved in product reliability and design decisions, Statistical Methods for Reliability Data is also an excellent textbook for on-the-job training courses, and for university courses on applied reliability data analysis at the graduate level.
 
In den letzten 10 Jahren stand die Verbesserung von Qualität, Produktivität und Zuverlässigkeit von Erzeugnissen im Mittelpunkt des Interesses, wobei statistische Techniken experimenteller Design- und statistischer Verfahrenskontrolle eine Hauptrolle spielten. In Zukunft wird dem Aspekt Zuverlässigkeit verstärkte Bedeutung zukommen. Ziel dieses Buches ist es, moderne Analysemethoden zur Messung von Zuverlässigkeitsdaten und Studien über Planungsgenauigkeit als Lehrstoff aufzubereiten - mit vielen Übungsaufgaben zu Analyse und Interpretation. (8/98)