Statistical Methods for Reliability Data

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9780471143284: Statistical Methods for Reliability Data
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Amstat News asked three review editors to rate their topfive favorite books in the September 2003 issue. StatisticalMethods for Reliability Data was among those chosen.

Bringing statistical methods for reliability testing in linewith the computer age This volume presents state-of-the-art,computer-based statistical methods for reliability data analysisand test planning for industrial products. Statistical Methodsfor Reliability Data updates and improves establishedtechniques as it demonstrates how to apply the new graphical,numerical, or simulation-based methods to a broad range of modelsencountered in reliability data analysis. It includes methods forplanning reliability studies and analyzing degradation data,simulation methods used to complement large-sample asymptotictheory, general likelihood-based methods of handling arbitrarilycensored data and truncated data, and more. In this book, engineersand statisticians in industry and academia will find:

  • A wealth of information and procedures developed to giveproducts a competitive edge
  • Simple examples of data analysis computed with the S-PLUSsystem-for which a suite of functions and commands is availableover the Internet
  • End-of-chapter, real-data exercise sets
  • Hundreds of computer graphics illustrating data, results ofanalyses, and technical concepts

An essential resource for practitioners involved in productreliability and design decisions, Statistical Methods forReliability Data is also an excellent textbook for on-the-jobtraining courses, and for university courses on applied reliabilitydata analysis at the graduate level.

An Instructor's Manual presenting detailed solutions to all theproblems in the book is available upon requestfrom the Wileyeditorial department.

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This title has been awarded the: Association of American Publishers Professional/Scholarly Publishing Division Award for Excellence and Innovation in Engineering

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Bringing statistical methods for reliability testing in line withthe computer age This volume presents state-of-the-art,computer-based statistical methods for reliability data analysisand test planning for industrial products. Statistical Methods forReliability Data updates and improves established techniques as itdemonstrates how to apply the new graphical, numerical, orsimulation-based methods to a broad range of models encountered inreliability data analysis. It includes methods for planningreliability studies and analyzing degradation data, simulationmethods used to complement large-sample asymptotic theory, generallikelihood-based methods of handling arbitrarily censored data andtruncated data, and more. In this book, engineers and statisticiansin industry and academia will find:

  • A wealth of information and procedures developed to giveproducts a competitive edge
  • Simple examples of data analysis computed with the S-PLUSsystem?for which a suite of functions and commands is availableover the Internet
  • End-of-chapter, real-data exercise sets
  • Hundreds of computer graphics illustrating data, results ofanalyses, and technical concepts

An essential resource for practitioners involved in productreliability and design decisions, Statistical Methods forReliability Data is also an excellent textbook for on-the-jobtraining courses, and for university courses on applied reliabilitydata analysis at the graduate level.

Amstat News asked three review editors to rate their topfive favorite books in the September 2003 issue. StatisticalMethods for Reliability Data was among those chosen.

"About this title" may belong to another edition of this title.

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Book Description John Wiley and Sons Ltd, United States, 1998. Hardback. Condition: New. 1. Auflage. Language: English. Brand new Book. 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. Seller Inventory # AAH9780471143284

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Book Description John Wiley and Sons Ltd, United States, 1998. Hardback. Condition: New. 1. Auflage. Language: English. Brand new Book. 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. Seller Inventory # AAH9780471143284

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