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Handbook of probabilistic models
~
Samui, Pijush, (1978-)
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Handbook of probabilistic models
Record Type:
Electronic resources : 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.)
[NT 15003449]:
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.
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:
646559
Engineering
--Statistical methods.Index Terms--Genre/Form:
542853
Electronic books.
LC Class. No.: TA340 / .H36 2020
Dewey Class. No.: 620.0015192
Handbook of probabilistic models
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edited by Pijush Samui, Dieu Tien Bui, Subrata Chakraborty, Ravinesh C. Deo.
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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.
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https://www.sciencedirect.com/science/book/9780128165140
based on 0 review(s)
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Items
1 records • Pages 1 •
1
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Opac note
Attachments
W9448460
電子資源
11.線上閱覽_V
電子書
EB TA340 .H36 2020
一般使用(Normal)
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1 records • Pages 1 •
1
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