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Advances In Mathematical And Statistical Modeling 1st Edition Barry C Arnold Auth

  • SKU: BELL-1990330
Advances In Mathematical And Statistical Modeling 1st Edition Barry C Arnold Auth
$ 31.00 $ 45.00 (-31%)

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Advances In Mathematical And Statistical Modeling 1st Edition Barry C Arnold Auth instant download after payment.

Publisher: Birkhäuser Basel
File Extension: PDF
File size: 4.85 MB
Pages: 368
Author: Barry C. Arnold (auth.), Roberto Minguez, Jose-Maria Sarabia, N. Balakrishnan, Barry C. Arnold (eds.)
ISBN: 9780817646257, 9780817646264, 0817646256, 0817646264
Language: English
Year: 2008
Edition: 1

Product desciption

Advances In Mathematical And Statistical Modeling 1st Edition Barry C Arnold Auth by Barry C. Arnold (auth.), Roberto Minguez, Jose-maria Sarabia, N. Balakrishnan, Barry C. Arnold (eds.) 9780817646257, 9780817646264, 0817646256, 0817646264 instant download after payment.

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.

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