Statistical methods in reliability theory and practice
Author(s)
Bibliographic Information
Statistical methods in reliability theory and practice
(Ellis Horwood series in mathematics and its applications, . Statistics,
E. Horwood, 1991
Available at 13 libraries
  Aomori
  Iwate
  Miyagi
  Akita
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  Tokyo
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  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
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  Gifu
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  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
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  United Kingdom
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
Aimed at reliability engineers undertaking courses in statistics, this is a text on reliability theory and practice. The author emphasizes the statistical methods needed in connection with modelling, estimation and inference in reliability studies and this, coupled with the inclusion of much original material of practical interest, has created a text that should appeal to engineers and statisticians, and provide a valuable teaching aid in statistical methodology. The author deploys his expertise in optimization to good effect; among the number of original elements included is a clear and impartial comparison of Bayesian with other statistical procedures. Exercises with solutions are provided at the end of every chapter. A reasonable background in mathematical methods, together with some knowledge and experience of elementary statiscts, is a prerequisite to a full understanding of this new text.
Table of Contents
- Lifetime distributions
- the mean lifetime, the residual lifetime
- some important distributions
- some other models
- life tables and censoring
- estimation of the survivor function
- estimation and inference from censored samples
- estimation and inference for other models
- stochastic models 1
- stochastic models 2
- renewal processes
- some simple availability models
- explanatory variables - the proportional hazards model
- analysis for the proportional hazards model
- bayesian methods for reliability
- bayesian analysis in a reliability context.
by "Nielsen BookData"