Research Catalog

Title

Statistical methods for the reliability of repairable systems / Steven E. Rigdon, Asit P. Basu.

Author

Rigdon, Steven E., 1955-

Publication

New York : Wiley, 2000.

Items in the Library & Off-site

Holdings

Details

Additional Authors

Basu, Asit P.

Description

xii, 281 pages : illustrations; 25 cm.

Summary

• "This new work offers a unique, systematic treatment of probabilistic models used for repairable systems as well as the statistical methods for analyzing data generated from them.".
• "Liberally supplemented with examples as well as exercises boasting real data, the book clearly explains the difference between repairable and nonrepairable systems and helps readers develop an understanding of stochastic point processes. Data analysis methods are discussed for both single and multiple systems and include graphical methods, point estimation, interval estimation, hypothesis tests, goodness-of-fit tests, and reliability prediction.
• Complete with extensive graphs, tables, and references, Statistical Methods for the Reliability of Repairable Systems is an excellent working resource for industry professionals involved in producing reliable systems and a handy reference for practitioners and researchers in the field."--BOOK JACKET.

Series Statement

Wiley series in probability and statistics

Uniform Title

Wiley series in probability and statistics.

Subjects

• Maintainability (Engineering) > Statistical methods
• Reliability (Engineering) > Statistical methods

Note

• "A Wiley-Interscience publication."

Bibliography (note)

• Includes bibliographical references (p. 267-275) and index.

Contents

1. Terminology and Notation for Repairable Systems -- 2. Probabilistic Models: The Poisson Process -- 3. Probabilistic Models: Renewal and Other Processes -- 4. Analyzing Data from a Single Repairable System -- 5. Analyzing Data from Multiple Repairable Systems -- A.1. Critical Values for the Chi-square Distribution -- A.2. Critical Values for the F Distribution -- A.3. Confidence Limits for the Mean of a Poisson Distribution Given an Observation of c Events -- A.4. Factors for Obtaining a Confidence Interval for the Intensity at the Time of the Last Failure for a Failure Truncated Power Law Process -- A.5. Factors for Obtaining a Confidence Interval for the Intensity at the Time of the Last Failure for a Time Truncated Power Law Process -- A.6. Critical Values for the Cramer-von Mises Goodness-of-fit Test -- A.7. Critical Values for Lilliefors' Goodness-of-fit Test.

ISBN

0471349410 (alk. paper)

LCCN

99057532

OCLC

• ocm42810854
• SCSB-4094271

Owning Institutions

Columbia University Libraries