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Condition: New. pp. 576.
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£ 161.82
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Handbook of Probabilistic Models
Published by Butterworth-Heinemann, 2019
ISBN 10: 0128165146 ISBN 13: 9780128165140
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 167.30
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£ 176.94
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Handbook of Probabilistic Models
Published by Butterworth-Heinemann, 2019
ISBN 10: 0128165146 ISBN 13: 9780128165140
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 179.53
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Handbook of Probabilistic Models
Published by Butterworth-Heinemann, 2019
ISBN 10: 0128165146 ISBN 13: 9780128165140
Language: English
£ 175.49
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Handbook of Probabilistic Models
Published by Butterworth-Heinemann, 2019
ISBN 10: 0128165146 ISBN 13: 9780128165140
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Handbook of Probabilistic Models
Published by Butterworth-Heinemann, 2019
ISBN 10: 0128165146 ISBN 13: 9780128165140
Language: English
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Handbook of Probabilistic Models
Published by Butterworth-Heinemann, 2019
ISBN 10: 0128165146 ISBN 13: 9780128165140
Language: English
Paperback. Condition: New. New. book.
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Handbook of Probabilistic Models
Published by Butterworth-Heinemann, 2019
ISBN 10: 0128165146 ISBN 13: 9780128165140
Language: English
£ 135.44
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Handbook of Probabilistic Models
Published by Butterworth-Heinemann, 2019
ISBN 10: 0128165146 ISBN 13: 9780128165140
Language: English
Paperback. Condition: Brand New. 612 pages. 9.00x6.00x1.26 inches. In Stock. This item is printed on demand.
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Handbook of Probabilistic Models
Published by Elsevier Science & Technology, Butterworth-Heinemann, 2019
ISBN 10: 0128165146 ISBN 13: 9780128165140
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. Englisch.
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Handbook of Probabilistic Models
Published by Elsevier Science & Technology|Butterworth-Heinemann, 2019
ISBN 10: 0128165146 ISBN 13: 9780128165140
Language: English
£ 150.70
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Add to basketKartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 t.
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Handbook of Probabilistic Models
Published by Elsevier Science & Technology, Butterworth-Heinemann, 2019
ISBN 10: 0128165146 ISBN 13: 9780128165140
Language: English
£ 165.66
Convert currency£ 12.15 shipping from Germany to United KingdomQuantity: 2 available
Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
