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Mathematical statistics --- Congresses --- Expert systems (Computer science) --- Data processing --- Congresses. --- Mathematical statistics - Congresses. --- Mathematical statistics - Data processing - Congresses. --- Expert systems (Computer science) - Congresses.

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Proceedings of the 19th international symposium on computational statistics, held in Paris august 22-27, 2010.Together with 3 keynote talks, there were 14 invited sessions and more than 100 peer-reviewed contributed communications.

Mathematical statistics -- Congresses. --- Mathematical statistics -- Data processing -- Congresses. --- Probabilities -- Data processing -- Congresses. --- Mathematical statistics --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Data processing --- Statistics --- Statistics. --- Statistics and Computing/Statistics Programs. --- Mathematical statistics. --- Statistical inference --- Statistics, Mathematical --- Probabilities --- Sampling (Statistics) --- Statistical methods --- Statistics . --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics

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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.

Mathematical statistics --- Economics --- Statistics --- Computer Science --- Mathematical optimization --- Data processing --- Congresses --- Distribution (Probability theory. --- Mathematical statistics. --- Statistics. --- Computer science. --- Mathematical Modeling and Industrial Mathematics. --- Probability Theory and Stochastic Processes. --- Statistical Theory and Methods. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Computational Science and Engineering. --- Informatics --- Science --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Statistical inference --- Statistics, Mathematical --- Probabilities --- Sampling (Statistics) --- Distribution functions --- Frequency distribution --- Characteristic functions --- Mathematical models. --- Probabilities. --- Statistics . --- Computer mathematics. --- Computer mathematics --- Electronic data processing --- Probability --- Combinations --- Chance --- Least squares --- Risk --- Models, Mathematical --- Simulation methods --- Economics - Statistics --- Mathematical statistics - Data processing - Congresses --- Probability Theory. --- Statistics in Business, Management, Economics, Finance, Insurance. --- Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Data processing. --- Castillo, Enrique,