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Advances in Data Analysis [electronic resource].

By: Material type: Computer fileComputer filePublisher number: 9780817647988Series: Statistics for Industry and TechnologyPublication details: Dordrecht : Springer, 2010.ISBN:
  • 9780817647995
Subject(s): Genre/Form: Additional physical formats: Print version:: Advances in Data AnalysisDDC classification:
  • 003.76 519
LOC classification:
  • QA402 .A297 2010
Online resources:
Contents:
Contents; Preface; List of Contributors; List of Tables; List of Figures; Part I Data Mining and Text Mining; Part II Information Theory and Statistical Applications; Part III Asymptotic Behaviour of Stochastic Processesand Random Fields; Part IV Bioinformatics and Markov Chains; Part V Life Table Data, Survival Analysis, and Riskin Household Insurance; Part VI Neural Networks and Self-Organizing Maps; Part VII Parametric and Nonparametric Statistics; Part VIII Statistical Theory and Methods
Summary: 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
Holdings
Item type Home library Call number Status Date due Barcode Item holds
Electronic Resource Electronic Resource UH Online Library Ebooks Not for loan
Total holds: 0

Enhanced descriptions from Syndetics:

Description based upon print version of record.

Contents; Preface; List of Contributors; List of Tables; List of Figures; Part I Data Mining and Text Mining; Part II Information Theory and Statistical Applications; Part III Asymptotic Behaviour of Stochastic Processesand Random Fields; Part IV Bioinformatics and Markov Chains; Part V Life Table Data, Survival Analysis, and Riskin Household Insurance; Part VI Neural Networks and Self-Organizing Maps; Part VII Parametric and Nonparametric Statistics; Part VIII Statistical Theory and Methods

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