Statistical Methods for Reliability Data
Escobar Luis A. Meeker William Q.
Language: English
Published by John Wiley & Sons, 1998
- Hardcover
- New
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- Title
- Statistical Methods for Reliability Data
- Author
- Escobar Luis A. Meeker William Q.
- Publisher
- John Wiley & Sons
- Publication year
- 1998
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0471143286
- ISBN 13
- 9780471143284
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.
An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon requestfrom the Wiley editorial department.
"Synopsis" may belong to another edition of this title.
About the Author
LUIS A. ESCOBAR, PhD, is a Professor in the Department of Experimental Statistics at Louisiana State University. His research and consulting interests include statistical analysis of reliability data, accelerated testing, survival analysis, and nonlinear models. An Associate Editor for Technometrics and the IIE Transactions of Quality and Reliability Engineering, Professor Escobar is a Fellow of the American Statistical Association and elected member of the International Statistics Institute. He is the author of several book chapters, and his publications have appeared in the engineering and statistical literature.
"About the title" may belong to another edition of this title.
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