| dc:subject
| - Probabilities
- Mathematics
- Statistics
- Statistiques
- Mathematical statistics
- Probability Theory and Stochastic Processes
- Statistical Theory and Methods
- Mathematical optimization
- Computational Science and Engineering
- Computer mathematics
- Computer science
- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
- Mathematical Modeling and Industrial Mathematics
- Mathematical models
- Distribution (théorie des probabilités)
- Economics -- Statistics
- Statistics for Business, Management, Economics, Finance, Insurance.
- Distribution (Probability theory.
- Castillo, Enrique (1946-....)
- Statistique bayésienne
- Valeurs extrêmes, Théorie des
- Mathematical statistics -- Data processing -- Congresses
- Statistics for Business/Economics/Mathematical Finance/Insurance
|
| note
| - 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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