Advances in Mathematical and Statistical Modeling
Advances in Mathematical and Statistical Modeling (Statistics for Industry and Technology) Barry C. Arnold (Editor), N. Balakrishnan (Editor), José María Sarabia (Editor), Roberto Mínguez (Editor)
Publisher: Birkhäuser Boston
ISBN: 0817646256
DDC: 519
Edition: Hardcover; 2008-09-02
Summary:
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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