Recent Advances in Stochastic Modeling and Data Analysis

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Editorial ReviewsProduct DescriptionThis volume presents the most recent applied and methodological issues in stochastic modeling and data analysis. The contributions cover various fields such as stochastic processes and applications, data analysis methods and techniques, Bayesian methods, biostatistics, econometrics, sampling, linear and nonlinear models, networks and queues, survival analysis, and time series. The volume presents new results with potential for solving real-life problems and provides novel methods for solving these problems by analyzing the relevant data. The use of recent advances in different fields is emphasized, especially new optimization and statistical methods, data warehouse, data mining and knowledge systems, neural computing, and bioinformatics.

Product Details Hardcover: 668 pages Publisher: World Scientific Publishing Company (November 16, 2007) Language: English ISBN-10: 9812709681 ISBN-13: 978-9812709684

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关键词：Stochastic Stochast Analysis Modeling Advances Analysis Modeling Data Advances recent

顶一个，非常不错的资料

不知道书 是 描述性 多还是 推理论证分析 性 多。。。。。。。。。。。。。
国外数学书，还是最喜欢Springer 出的

dreamathstat 发表于 2010-10-11 20:35
Editorial ReviewsProduct DescriptionThis volume presents the most recent applied and methodological issues in stochastic modeling and data analysis. The contributions cover various fields such as stochastic processes and applications, data analysis methods and techniques, Bayesian methods, biostatistics, econometrics, sampling, linear and nonlinear models, networks and queues, survival analysis, and time series. The volume presents new results with potential for solving real-life problems and provides novel methods for solving these problems by analyzing the relevant data. The use of recent advances in different fields is emphasized, especially new optimization and statistical methods, data warehouse, data mining and knowledge systems, neural computing, and bioinformatics.

Product Details Hardcover: 668 pages Publisher: World Scientific Publishing Company (November 16, 2007) Language: English ISBN-10: 9812709681 ISBN-13: 978-9812709684

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