Advances in Mathematical and Statistical Modeling

Enrique Castillo is a leading figure in several mathematical, statistical, and engineering fields, having contributed seminal work in such areas as statistical modeling, extreme value analysis, multivariate distribution theory, Bayesian networks, neural networks, functional equations, artificial int...

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Detalles Bibliográficos
Autor Principal: Arnold, Barry C.
Outros autores: Balakrishnan, N. (Directeur de la publication), Sarabia Alegria, Jose-Maria (Directeur de la publication), Minguez, Roberto (Directeur de la publication)
Formato: Livre numérique
Idioma:Anglais
Publicado: Boston, MA : Birkhäuser Boston [20..].
Cham : Springer Nature
Edición:1st ed. 2008.
Series:Statistics for Industry and Technology
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Nota: L'impresion du document génère 364 p.
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Variante du titre:Mélanges :, Castillo
Edition sous un autre format:• Advances in Mathematical and Statistical Modeling, Texte imprimé, 9780817672065
• Advances in Mathematical and Statistical Modeling, ed. by Barry C. Arnold ... [et al.], Boston, Birkhäuser, 2008, 1 vol. (xxxiii-368 p.), Statistics for industry and technology, 978-0-8176-4625-7
Descripción
Résumé:Enrique Castillo is a leading figure in several mathematical, statistical, and engineering fields, having contributed seminal work in such areas as statistical modeling, extreme value analysis, multivariate distribution theory, Bayesian networks, neural networks, functional equations, artificial intelligence, linear algebra, optimization methods, numerical methods, reliability engineering, as well as sensitivity analysis and its applications. Organized to honor Castillo's significant contributions, this volume is an outgrowth of the International Conference on Mathematical and Statistical Modeling and covers recent advances in the field. Also presented are applications to safety, reliability and life-testing, financial modeling, quality control, general inference, as well as neural networks and computational techniques. The book is divided into nine major sections: * Distribution Theory and Applications * Probability and Statistics * Order Statistics and Analysis * Engineering Modeling * Extreme Value Theory * Business and Economics Applications * Statistical Methods * Applied Mathematics * Discrete Distributions This comprehensive reference work will appeal to a diverse audience from the statistical, applied mathematics, engineering, and economics communities. Practitioners, researchers, and graduate students in mathematical and statistical modeling, optimization, and computing will benefit from this work
descrición da copia:L'impresion du document génère 364 p.
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Bibliografía:Notes bibliogr. Index
ISBN:9780817646264
ISSN:2364-625X
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