Statistics and probability theory : in pursuit of engineering decision support

This book provides the reader with the basic skills and tools of statistics and probability in the context of engineering modeling and analysis. The emphasis is on the application and the reasoning behind the application of these skills and tools for the purpose of enhancing  decision making in engi...

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書誌詳細
第一著者: Faber, Michael Havbro
フォーマット: Livre numérique
言語:Anglais
出版事項: Dordrecht : Springer Netherlands [20..].
Cham : Springer Nature
版:1st ed. 2012.
シリーズ:Topics in Safety, Risk, Reliability and Quality 18
オンライン・アクセス:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
注記: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Statistics and Probability Theory, in Pursuit of Engineering Decision Support, Michael Havbro Faber., Dordrecht, Springer, 2012, 1 vol. (XVI-190 p), Topics in Safety, Risk, Reliability and Quality, 978-94-007-4055-6
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505 1 |a Engineering decisions under uncertainty Basic probability theory Descriptive statistics Uncertainty modelling Estimation and model building Methods of structural reliability Bayesian decision analysis 
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506 |a Accès soumis à abonnement pour tout autre établissement 
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520 |a This book provides the reader with the basic skills and tools of statistics and probability in the context of engineering modeling and analysis. The emphasis is on the application and the reasoning behind the application of these skills and tools for the purpose of enhancing  decision making in engineering. The purpose of the book is to ensure that the reader will acquire the required theoretical basis and technical skills such as to feel comfortable with the theory of basic statistics and probability. Moreover, in this book, as opposed to many standard books on the same subject, the perspective is to focus on the use of the theory for the purpose of engineering model building and decision making.  This work is suitable for readers with little or no prior knowledge on the subject of statistics and probability 
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