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Advances in Data Analysis: Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks

Format Post in Mathematics BY Christos H. Skiadas

0817647988 Shared By Guest

Advances in Data Analysis: Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks Christos H. Skiadas is available to download

Advances in Data Analysis: Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks
Christos H.Advances in Data Analysis: ... Textbook Skiadas
Type: eBook
Released: 2009
Page Count: 368
Format: pdf
Language: English
ISBN-10: 0817647988
ISBN-13: 9780817647988
An outgrowth of the 12th International Conference on Applied Stochastic Models and Data Analysis, this book is a collection of invited chapters presenting recent developments in the field of data analysis, with applications to reliability and inference, data mining, bioinformatics, lifetime data, and neural networks. Emphasized throughout the volume are new methods with the potential for solving real-world problems in various areas. The book is divided into eight major sections: * Data Mining and Text Mining * Information Theory and Statistical Applications * Asymptotic Behaviour of Stochastic Processes and Random Fields * Bioinformatics and Markov Chains * Life Table Data, Survival Analysis, and Risk in Household Insurance * Neural Networks and Self-Organizing Maps * Parametric and Nonparametric Statistics * Statistical Theory and Methods   Advances in Data Analysis is a useful reference for graduate students, researchers, and practitioners in statistics, mathematics, engineering, economics, social science, bioengineering, and bioscience.

Advances in Data Analysis: Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks

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