Probability and Risk Analysis An Introduction for Engineers /

This book presents notions and ideas from the foundations of a statistical treatment of risks. Bayesian methods are frequently used in that area, hence a reasonable proportion of the presentation is devoted to such approaches. Modern statistical tools, namely Poisson regression, analysis of deviance...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Rychlik, Igor (Συγγραφέας), Rydén, Jesper (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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020 |a 9783540395218  |9 978-3-540-39521-8 
024 7 |a 10.1007/978-3-540-39521-8  |2 doi 
040 |d GrThAP 
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100 1 |a Rychlik, Igor.  |e author. 
245 1 0 |a Probability and Risk Analysis  |h [electronic resource] :  |b An Introduction for Engineers /  |c by Igor Rychlik, Jesper Rydén. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2006. 
300 |a X, 281 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Basic Probability -- Probabilities in Risk Analysis -- Distributions and Random Variables -- Fitting Distributions to Data – Classical Inference -- Conditional Distributions with Applications -- to Bayesian Inference -- Intensities and Poisson Models -- Failure Probabilities and Safety Indexes -- Estimation of Quantiles -- Design Loads and Extreme Values. 
520 |a This book presents notions and ideas from the foundations of a statistical treatment of risks. Bayesian methods are frequently used in that area, hence a reasonable proportion of the presentation is devoted to such approaches. Modern statistical tools, namely Poisson regression, analysis of deviance, extreme-value theory and threshold methods are also used to identify and solve practical problems. The knowledge of such tools facilitates the understanding of the role of probability in risk analysis and proper use of outputs given by software packages. The book is written with a student in mind who has studied elementary undergraduate courses in engineering mathematics, perhaps including an introductory course in statistics. The text emphasizes an understanding of the theory and methods presented. Hence, comments are given verbally and an intuitive reasoning is frequent. This is not just another new textbook on elementary probability and statistics, but focuses strongly on applications within the field of risk and safety analysis. 
650 0 |a Statistics. 
650 0 |a Probabilities. 
650 0 |a Quality control. 
650 0 |a Reliability. 
650 0 |a Industrial safety. 
650 0 |a Civil engineering. 
650 1 4 |a Statistics. 
650 2 4 |a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 
650 2 4 |a Probability Theory and Stochastic Processes. 
650 2 4 |a Quality Control, Reliability, Safety and Risk. 
650 2 4 |a Civil Engineering. 
700 1 |a Rydén, Jesper.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783540242239 
856 4 0 |u http://dx.doi.org/10.1007/978-3-540-39521-8  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649)