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
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Arnold, Barry C. (Editor ), Balakrishnan, N. (Editor ), Sarabia Alegria, Jose-Maria (Editor ), Minguez, Roberto (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boston, MA : Birkhäuser Boston : Imprint: Birkhäuser, 2008.
Edición:1st ed. 2008.
Colección:Statistics for Industry and Technology,
Temas:
Mathematical models.
Probabilities.
Statistics .
Mathematics > Data processing.
Mathematical Modeling and Industrial Mathematics.
Probability Theory.
Statistical Theory and Methods.
Statistics in Business, Management, Economics, Finance, Insurance.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Computational Science and Engineering.
Acceso en línea:Texto Completo
Descripción
Sumario: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.
Descripción Física:XXXIV, 368 p. 56 illus. online resource.
ISBN:9780817646264
ISSN:2364-625X

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