Handbook of Probabilistic Models
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Book Overview Handbook of Probabilistic Models carefully examines the application of advanced probabilistic models in conventional engineering fields. ...
Handbook of Probabilistic Models carefully examines the application of advanced probabilistic models in conventional engineering fields. In this comprehensive handbook, practitioners, researchers and scientists will find detailed explanations of technical concepts, applications of the proposed methods, and the respective scientific approaches needed to solve the problem. This book provides an interdisciplinary approach that creates advanced probabilistic models for engineering fields, ranging from conventional fields of mechanical engineering and civil engineering, to electronics, electrical, earth sciences, climate, agriculture, water resource, mathematical sciences and computer sciences.
Specific topics covered include minimax probability machine regression, stochastic finite element method, relevance vector machine, logistic regression, Monte Carlo simulations, random matrix, Gaussian process regression, Kalman filter, stochastic optimization, maximum likelihood, Bayesian inference, Bayesian update, kriging, copula-statistical models, and more.
Book Details Format: Paperback | Pages: 590 | Language: English | Publisher: BUTTERWORTH HEINEMANN | ISBN: 0128165146
FormatPaperback
Pages590
LanguageEnglish
ISBN0128165146
EAN9780128165140
PublisherBUTTERWORTH HEINEMANN
Publication Date2019-10-16
Edition1
AccessoriesNo Accessory
ConditionNew
Product TypeQUALITY PAPERBACK BOOKS
Weight1.72 Pounds
Length9.0 Inches
Width6.0 Inches
Height1.19 Inches
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