Titre :	Probability concepts in engineering : emphasis on applications in civil & environmental engineering
Type de document :	texte imprimé
Auteurs :	Alfredo H.S. Ang, Auteur ; Wilson H. Tang, Auteur
Editeur :	New York : Wiley
Année de publication :	2007
Importance :	406 p.
Présentation :	graph., tabl.
Format :	27 cm
ISBN/ISSN/EAN :	0-471-72064-X
Note générale :	Bibliogr. Index.
Langues :	Anglais (eng)
Mots-clés :	Génie civil : Méthodes statistiques; Ingénierie : Méthodes statistiques; Probabilités; Civil Engineering : Statistical Methods; Engineering : Statistical methods; probability
Résumé :	Thoroughly revised and updated, this second edition provides the basics of probability and statistical concepts in terms that are easily understood by engineers and engineering students. The basic principles are presented and illustrated through relevant problems to engineering and the physical sciences. Contents : Roles of probability and statistics in engineering. Fundamentals of probability models. Analytical models of random phenomena. Functions of random variables. Computer-based numerical and simulation methods in probability. Statistical inferences from observational data. Determination of probability distribution models. Regression and correlation analyses. The Bayesian approach. Elements of quality assurance and acceptance sampling.

Probability concepts in engineering : emphasis on applications in civil & environmental engineering [texte imprimé] / Alfredo H.S. Ang, Auteur ; Wilson H. Tang, Auteur . - New York : Wiley, 2007 . - 406 p. : graph., tabl. ; 27 cm.
ISBN : 0-471-72064-X
Bibliogr. Index.
Langues : Anglais (eng)

Mots-clés :

Génie civil : Méthodes statistiques; Ingénierie : Méthodes statistiques; Probabilités; Civil Engineering : Statistical Methods; Engineering : Statistical methods; probability

Résumé :

Thoroughly revised and updated, this second edition provides the basics of probability and statistical concepts in terms that are easily understood by engineers and engineering students. The basic principles are presented and illustrated through relevant problems to engineering and the physical sciences. Contents : Roles of probability and statistics in engineering. Fundamentals of probability models. Analytical models of random phenomena. Functions of random variables. Computer-based numerical and simulation methods in probability. Statistical inferences from observational data. Determination of probability distribution models. Regression and correlation analyses. The Bayesian approach. Elements of quality assurance and acceptance sampling.