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Statistics and Probability Theory [electronic resource] :In Pursuit of Engineering Decision Support / by Michael Havbro Faber.

by Faber, Michael Havbro [author.]; SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Topics in Safety, Risk, Reliability and Quality: 18Publisher: Dordrecht : Springer Netherlands : 2012.Description: XVI, 190 p. 86 illus. online resource.ISBN: 9789400740563.Subject(s): Engineering | Distribution (Probability theory) | System safety | Engineering | Quality Control, Reliability, Safety and Risk | Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences | Probability Theory and Stochastic ProcessesDDC classification: 658.56 Online resources: Click here to access online
Contents:
Engineering decisions under uncertainty -- Basic probability theory -- Descriptive statistics -- Uncertainty modelling -- Estimation and model building -- Methods of structural reliability -- Bayesian decision analysis.
In: Springer eBooksSummary: 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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Engineering decisions under uncertainty -- Basic probability theory -- Descriptive statistics -- Uncertainty modelling -- Estimation and model building -- Methods of structural reliability -- Bayesian decision analysis.

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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