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Handbook of probabilistic models

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Handbook of probabilistic models/ edited by Pijush Samui, Dieu Tien Bui, Subrata Chakraborty, Ravinesh C. Deo.
remainder title:	Probabilistic models
other author:	Samui, Pijush,
Published:	Amsterdam :Butterworth-Heinemann, : 2020.,
Description:	1 online resource (xxii, 567 p.) :ill. (some col.) :
Subject:	Engineering - Statistical methods. -
Online resource:	https://www.sciencedirect.com/science/book/9780128165140
ISBN:	9780128165461 (electronic bk.)

Handbook of probabilistic models
Handbook of probabilistic models[electronic resource] /Probabilistic modelsedited by Pijush Samui, Dieu Tien Bui, Subrata Chakraborty, Ravinesh C. Deo. - Amsterdam :Butterworth-Heinemann,2020. - 1 online resource (xxii, 567 p.) :ill. (some col.)

Includes bibliographical references and index.

1. Monte Carlo Simulation; 2. Stochastic Optimization Method; 3. Reliability Analysis; 4. Stochastic Finite Element Method; 5. Kalman Filter; 6. Random matrix; 7. Markov Chain; 8. Gaussian Process Regression; 9. Logistic regression; 10. Geostatistics; 11. Kriging; 12. Bayesian inference; 13. Bayesian updating; 14. Probabilistic Neural Network; 15. SVM, Relevance vector machine.

ISBN: 9780128165461 (electronic bk.)

Nat. Bib. No.: GBB9F3416bnbSubjects--Topical Terms:

558691
Engineering
--Statistical methods.Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: TA340 / .H36 2020

Dewey Class. No.: 620.0015192

Handbook of probabilistic models
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020 $a 9780128165140 (pbk.)
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041 0 $a eng
050 4 $a TA340 $b .H36 2020
082 0 4 $a 620.0015192 $2 23
245 0 0 $a Handbook of probabilistic models $h [electronic resource] / $c edited by Pijush Samui, Dieu Tien Bui, Subrata Chakraborty, Ravinesh C. Deo.
246 3 0 $a Probabilistic models
260 $a Amsterdam : $b Butterworth-Heinemann, $c 2020.
300 $a 1 online resource (xxii, 567 p.) : $b ill. (some col.)
504 $a Includes bibliographical references and index.
505 0 $a 1. Monte Carlo Simulation; 2. Stochastic Optimization Method; 3. Reliability Analysis; 4. Stochastic Finite Element Method; 5. Kalman Filter; 6. Random matrix; 7. Markov Chain; 8. Gaussian Process Regression; 9. Logistic regression; 10. Geostatistics; 11. Kriging; 12. Bayesian inference; 13. Bayesian updating; 14. Probabilistic Neural Network; 15. SVM, Relevance vector machine.
650 0 $a Engineering $x Statistical methods. $3 558691
655 4 $a Electronic books. $2 local $3 554714
700 1 $a Samui, Pijush, $d 1978- $e editor. $3 1133006
700 1 $a Tien Bui, Dieu, $e editor. $3 1372177
700 1 $a Chakraborty, Subrata, $d 1969- $e editor. $3 1133007
700 1 $a Deo, Ravinesh C., $e editor. $3 1372178
856 4 0 $u https://www.sciencedirect.com/science/book/9780128165140

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