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Mathematical statistics --- Data processing --- Congresses --- Graphic methods --- 519.2 --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Congresses. --- Probability. Mathematical statistics --- Statistical methods --- 519.2 Probability. Mathematical statistics --- Data processing&delete& --- Graphic methods&delete& --- Mathematical statistics - Data processing - Congresses --- Mathematical statistics - Graphic methods - Data processing - 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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The last years have seen the advent and development of many devices able to record and store an always increasing amount of complex and high dimensional data; 3D images generated by medical scanners or satellite remote sensing, DNA microarrays, real time financial data, system control datasets, .... The analysis of this data poses new challenging problems and requires the development of novel statistical models and computational methods, fueling many fascinating and fast growing research areas of modern statistics. The book offers a wide variety of statistical methods and is addressed to statisticians working at the forefront of statistical analysis.
Mathematical statistics -- Data processing -- Congresses. --- Mathematical statistics -- Data processing. --- Mathematical statistics. --- Mathematical statistics --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Data processing --- Database design --- Statistical methods. --- Data base design --- Mathematics. --- Data mining. --- Computer software. --- Statistics. --- Mathematical Software. --- Statistics and Computing/Statistics Programs. --- Statistical Theory and Methods. --- Data Mining and Knowledge Discovery. --- System design --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Software, Computer --- Computer systems --- Statistical methods --- Statistics . --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics --- Statistics and Computing. --- Data processing.
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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,
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