Statistical Methods for Reliability Data

ISBN-10: 0471143286

ISBN-13: 9780471143284

Edition: 1st 1998

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Description:

Improving the quality, productivity and reliability of manufactured products involves a focus on statistical techniques of experimental design and statistical process control. This book focuses on modern methods for analysing reliability data.
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Book details

List price: $200.95
Edition: 1st
Copyright year: 1998
Publisher: John Wiley & Sons, Incorporated
Publication date: 7/24/1998
Binding: Hardcover
Pages: 712
Size: 6.50" wide x 9.75" long x 1.75" tall
Weight: 2.486

WILLIAM Q. MEEKER, PhD, is Professor of Statistics and Distinguished Professor of Liberal Arts and Sciences at Iowa State University. He is a Fellow of the American Statistical Association and an elected member of the International Statistics Institute. Among his many awards and honors are the Youdan Prize and two Wilcoxon Prizes as well as two awards for outstanding teaching at Iowa State. He is coauthor of Statistical Intervals: A Guide for Practitioners (Wiley) and of numerous book chapters and publications in the engineering and statistical literature. A former editor of Technometrics and coeditor of Selected Tables in Mathematical Statistics, he is currently Associate Editor for International Statistical Review.#60;p#62;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.

Reliability Concepts and Reliability Data
Nonparametric Estimation
Other Parametric Distributions
Probability Plotting
Bootstrap Confidence Intervals
Planning Life Tests
Degradation Data, Models, and Data Analysis
Introduction to the Use of Bayesian Methods for Reliability Data
Failure-Time Regression Analysis
Accelerated Test Models
Accelerated Life Tests
Case Studies and Further Applications
Epilogue
Appendices
References
Indexes
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