Advances in Mathematical and Statistical Modeling
- Author
- Roberto Minguez, Jose-Maria Sarabia, N. Balakrishnan …
- Publication Year
- 2008
- Publisher
- Springer
- Language
- English
- Document Type
- Book
- Faculty / Subject Heading
- Mathematics and Statistics
- Download Book Read book
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.
Keywords: Mathematics and Statistics / Estimator / Factor analysis / Generalized linear model / Measure / Optimization Methods / Pretest / Random variable / Regression / Time series / Artificial intelligence / Best fit / Numerical methods / Optimization / Statistics
