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Statistical Methods for Reliability Data. 1998

£55.00

Product description

Statistical methods for reliability data by William O Meeker and Luis Escobar. Published by John Wiley 1998. Hardback with illustrated board covers. Lower spine is bumped. Boards have some marks. General condition is very good.

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.

Item details

Author(s):
Meeker William O and Escobar Luis A
Condition:
Used: very good
Dimensions:
24x15x3.5cm
Edition:
1998
Format:
Hardback
ISBN-10:
0471143286
ISBN-13:
9780471143284
Number of pages:
690
Publisher:
Wiley
Title:
Statistical methods for reliability data

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About this item

Statistical methods for reliability data by William O Meeker and Luis Escobar. Published by John Wiley 1998. Hardback with illustrated board covers. Lower spine is bumped. Boards have some marks. General condition is very good.

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.

Author(s):
Meeker William O and Escobar Luis A
Condition:
Used: very good
Dimensions:
24x15x3.5cm
Edition:
1998
Format:
Hardback
ISBN-10:
0471143286
ISBN-13:
9780471143284
Number of pages:
690
Publisher:
Wiley
Title:
Statistical methods for reliability data

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