Statistical methods for reliability data
by
 
Meeker, William Q.

Title
Statistical methods for reliability data

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


LibraryMaterial TypeItem BarcodeShelf NumberCopy
IIEMSAGeneral Books33168023698497620.00452 M494S 19951