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Handbook of probabilistic models[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	620.0015192
書名/作者:	Handbook of probabilistic models/ edited by Pijush Samui, Dieu Tien Bui, Subrata Chakraborty, Ravinesh C. Deo.
其他題名:	Probabilistic models
其他作者:	Samui, Pijush,
出版者:	Amsterdam : : Butterworth-Heinemann,, 2020.
面頁冊數:	1 online resource (xxii, 567 p.) : : ill. (some col.)
標題:	Engineering - Statistical methods.
ISBN:	9780128165461 (electronic bk.)
ISBN:	9780128165140 (pbk.)
書目註:	Includes bibliographical references and index.
內容註:	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.
電子資源:	https://www.sciencedirect.com/science/book/9780128165140

Handbook of probabilistic models[electronic resource] /
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:

452646
Engineering
--Statistical methods.Index Terms--Genre/Form:

336502
Electronic books.

LC Class. No.: TA340 / .H36 2020

Dewey Class. No.: 620.0015192

Handbook of probabilistic models[electronic resource] /
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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 452646
655 4 $a Electronic books. $2 local $3 336502
700 1 $a Samui, Pijush, $d 1978- $e editor. $3 690437
700 1 $a Tien Bui, Dieu, $e editor. $3 748625
700 1 $a Chakraborty, Subrata, $d 1969- $e editor. $3 690438
700 1 $a Deo, Ravinesh C., $e editor. $3 748626
856 4 0 $u https://www.sciencedirect.com/science/book/9780128165140

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