Statistical Methods for Reliability Data / Wiley Series in Probability and Statistics (PDF)

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.