名称: | |
描述: | |
公开/私有: | 公开 私有 |
Statistical methods for reliability data / |
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ISBN/ISSN:
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9781118115459 价格: CNY1095.61 |
科图分类法:
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TB114.3 |
著者:
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Meeker, William Q., |
题名:
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Statistical methods for reliability data / |
版次:
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Second edition. |
出版发行:
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Hoboken, NJ : Wiley, 2022. |
载体形态:
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659 pages : illustrations ; 26 cm. |
内容提要:
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"This book improves Meeker and Escobar (1998, Wiley) not only in terms of organization and presentation, but also in extensions and modifications to the technical material. It presents state-of-the-art, computer-based statistical methods for reliability data analysis and for test planning of industrial products. It also improves long time 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. Bayesian methods in solving practical problems (e.g. models involving random effects or censoring that arises in reliability studies) are now incorporated where appropriate; the computations are done with WinBUGS. Ample exercises that extend and strengthen the concepts in the book are included. The criterion for integrating material in the book is that the authors have in-hand or have seen real applications for the methodology. The book is specifically geared for a one-semester course on the topic in either a statistics or engineering department at either the upper-undergraduate or beginning graduate levels. R functions and subroutines, along with an extensive list of data sets, are included on a massive web site that is meticulously maintained by the authors"-- |
主题词:
|
Reliability (Engineering) Statistical methods. |
主要责任者:
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Escobar, Luis A., |
主要责任者:
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Pascual, Francis G., |
标签:
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相关主题:
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相关资源:
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HEA| |02714cam a2200337 450 001| |022022002746 008| |210817s2022 njua b 001 0 eng 010| |▼a 2021040763 020| |▼a9781118115459▼qhardback :▼cCNY1095.61 020| |▼z9781118594599▼q(adobe pdf) 020| |▼z9781118594483▼q(epub) 040| |▼aDLC▼beng▼erda▼cDLC▼dOCLCO▼dO- | |CLCF▼dVA▼dOCLCO▼dBJZK 042| |▼apcc 050|00|▼aTS173▼b.M44 2022 082|00|▼a620/.00452▼223 090| |▼aTB114.3▼b226352 100|1 |▼aMeeker, William Q.,▼eauthor. 245|10|▼aStatistical methods for reli- | |ability data /▼cWilliam Q. Mee- | |ker, Department of Statistics,- | | Iowa State University, Luis A- | |. Escobar, Department of Exper- | |imental Statistics, Louisiana - | |State University, Francis G. P- | |ascual, Department of Mathemat- | |ics and Statistics, Washington- | | State University. 250| |▼aSecond edition. 260| |▼aHoboken, NJ :▼bWiley,▼c2022. 300| |▼a659 pages :▼billustrations ;▼c26 cm. 336| |▼atext▼btxt▼2rdacontent 337| |▼aunmediated▼bn▼2rdamedia 338| |▼avolume▼bnc▼2rdacarrier 490|1 |▼aWiley series in probability - | |and statistics 504| |▼aIncludes bibliographical ref- | |erences and index. 520| |▼a"This book improves Meeker a- | |nd Escobar (1998, Wiley) not o- | |nly in terms of organization a- | |nd presentation, but also in e- | |xtensions and modifications to- | | the technical material. It pr- | |esents state-of-the-art, compu- | |ter-based statistical methods - | |for reliability data analysis - | |and for test planning of indus- | |trial products. It also improv- | |es long time established techn- | |iques as it demonstrates how t- | |o apply the new graphical, num- | |erical, or simulation-based me- | |thods to a broad range of mode- | |ls encountered in reliability - | |data analysis. Bayesian method- | |s in solving practical problem- | |s (e.g. models involving rando- | |m effects or censoring that ar- | |ises in reliability studies) a- | |re now incorporated where appr- | |opriate; the computations are - | |done with WinBUGS. Ample exerc- | |ises that extend and strengthe- | |n the concepts in the book are- | | included. The criterion for i- | |ntegrating material in the boo- | |k is that the authors have in-- | |hand or have seen real applica- | |tions for the methodology. The- | | book is specifically geared f- | |or a one-semester course on th- | |e topic in either a statistics- | | or engineering department at - | |either the upper-undergraduate- | | or beginning graduate levels.- | | R functions and subroutines, - | |along with an extensive list o- | |f data sets, are included on a- | | massive web site that is meti- | |culously maintained by the aut- | |hors"--▼cProvided by publisher. 650| 0|▼aReliability (Engineering)▼xS- | |tatistical methods. 700|1 |▼aEscobar, Luis A.,▼eauthor. 700|1 |▼aPascual, Francis G.,▼eauthor. 830| 0|▼aWiley series in probability - | |and statistics.