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Birkhäuser - Birkhäuser Mathematics | Advances in Mathematical and Statistical Modeling

Advances in Mathematical and Statistical Modeling

Arnold, B.C., Balakrishnan, N., Sarabia, J.M., Minguez, R. (Eds.)


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  • Features contributors who are prominent, distinguished, and well-respected researchers in the field of mathematical and statistical modeling
  • Presents real-world applications to safety, reliability, life-testing, financial modeling, quality control, general inference, economics, engineering, as well as neural networks and computational techniques
  • Good reference work for practitioners, researchers, and graduate students in statistics, applied mathematics, engineering, economics, and 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 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.

Content Level » Professional/practitioner

Keywords » Estimator - Factor analysis - Generalized linear model - Measure - Optimization Methods - Pretest - Random variable - Regression - Time series - artificial intelligence - best fit - numerical methods - optimization - statistics

Related subjects » Birkhäuser Applied Probability and Statistics - Birkhäuser Mathematics

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