9780471143284-0471143286-Statistical Methods for Reliability Data

Statistical Methods for Reliability Data

ISBN-13: 9780471143284
ISBN-10: 0471143286
Edition: 1
Author: William Q. Meeker, Luis A. Escobar
Publication date: 1998
Publisher: Wiley-Interscience
Format: Hardcover 712 pages
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Book details

ISBN-13: 9780471143284
ISBN-10: 0471143286
Edition: 1
Author: William Q. Meeker, Luis A. Escobar
Publication date: 1998
Publisher: Wiley-Interscience
Format: Hardcover 712 pages

Summary

Statistical Methods for Reliability Data (ISBN-13: 9780471143284 and ISBN-10: 0471143286), written by authors William Q. Meeker, Luis A. Escobar, was published by Wiley-Interscience in 1998. With an overall rating of 4.5 stars, it's a notable title among other Industrial, Manufacturing & Operational Systems (Engineering) books. You can easily purchase or rent Statistical Methods for Reliability Data (Hardcover) from BooksRun, along with many other new and used Industrial, Manufacturing & Operational Systems books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.62.

Description

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.

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