Statistical methods for reliability data

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Title:

Author:

Meeker, William Q.

ISBN:

9780471143284

Personal Author:

Meeker, William Q.

Publication Information:

New York : Wiley, c1998.

Physical Description:

xxii, 680 p. : ill. ; 25 cm.

Series:

Wiley series in probability and statistics. Applied probability and statistics section.

Wiley series in probability and statistics. Applied probability and statistics section

Wiley series in probability and statistics. Applied probability and statistics.

Series Title:

Wiley series in probability and statistics. Applied probability and statistics section.

General Note:

"A Wiley-Interscience publication."

Contents:

1. Reliability Concepts and Reliability Data -- 2. Models, Censoring, and Likelihood for Failure-Time Data -- 3. Nonparametric Estimation -- 4. Location-Scale-Based Parametric Distributions -- 5. Other Parametric Distributions -- 6. Probability Plotting -- 7. Parametric Likelihood Fitting Concepts: Exponential Distribution -- 8. Maximum Likelihood for Log-Location-Scale Distributions -- 9. Bootstrap Confidence Intervals -- 10. Planning Life Tests -- 11. Parametric Maximum Likelihood: Other Models -- 12. Prediction of Future Random Quantities -- 13. Degradation Data, Models, and Data Analysis -- 14. Introduction to the Use of Bayesian Methods for Reliability Data -- 15. System Reliability Concepts and Methods -- 16. Analysis of Repairable System and Other Recurrence Data -- 17. Failure-Time Regression Analysis -- 18. Accelerated Test Models -- 19. Accelerated Life Tests -- 20. Planning Accelerated Life Tests -- 21. Accelerated Degradation Tests.

22. Case Studies and Further Applications.

Abstract:

"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." "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."--BOOK JACKET.

Subject Term:

Reliability (Engineering) -- Statistical methods.

Added Author:

Escobar, Luis A.

Electronic Access:

Publisher description http://www.loc.gov/catdir/description/wiley031/97039270.html
Contributor biographical information http://www.loc.gov/catdir/bios/wiley041/97039270.html
Table of Contents http://www.loc.gov/catdir/toc/onix01/97039270.html

Copies:

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Library	Material Type	Item Barcode	Shelf Number	Copy	Status
Searching... 1:IIEMSA	1:GEN-BOOK	33168023698497	620.00452 M494S 1995	1	Searching... Unknown

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Summary

Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Statistical Methods for Reliability Data was among those chosen.

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.