Reliability : probabilistic models and statistical methods
著者
書誌事項
Reliability : probabilistic models and statistical methods
（Prentice-Hall international series in industrial and systems engineering）
Prentice Hall, c1995
2nd ed
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注記
Includes bibliographical references (p. 299-307) and index
内容説明・目次
内容説明
Appropriate for a one-semester advanced undergraduate or a graduate level course in reliability engineering.
An elementary introduction to the probabilistic models and statistical methods used by reliability engineers as applied to, for example, electrical or mechanical systems. Leemis offers explanations of how the mathematical models and results apply to engineering design and the analysis of lifetime data sets, with simple, supplementary proofs and derivations provided when necessary.
目次
1. Introduction.
2. Coherent Systems Analysis.
3. Lifetime Distributions.
4. Parametric Lifetime Models.
5. Specialized Models.
6. Repairable Systems.
7. Lifetime Data Analysis.
8. Parametric Estimation for Models without Covariates.
9. Parametric Estimation for Models with Covariates.
10. Nonparametric Methods and Model Adequacy.
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