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Advances in Data Analysis: Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks (Statistics for Industry and Technology) - Hardcover
Synopsis
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, including 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, and 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.
"synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About this title" may belong to another edition of this title.
- PublisherBirkhäuser
- Publication date2009
- ISBN 10 0817647988
- ISBN 13 9780817647988
- BindingHardcover
- LanguageEnglish
- Number of pages388
- EditorSkiadas Christos H.
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Advances in Data Analysis. Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks.
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Advances in Data Analysis: Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks (Statistics for Industry and Technology)
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Real-world applications to reliability and inference, data mining, bioinformatics, lifetime data, and neural networksNew results are emphasized with potential for solving real-world problemsFor a broad audience of graduate students, researc. Seller Inventory # 5975897
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Advances in Data Analysis: Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks (Statistics for Industry and Technology)
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Advances in Data Analysis: Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks
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SPRINGER NATURE Dez 2009, 2009
ISBN 10: 0817647988
ISBN 13: 9780817647988
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This unified volume 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. The book is a useful reference for graduate students, researchers, and practitioners in statistics, mathematics, engineering, economics, social science, bioengineering, and bioscience. 364 pp. Englisch. Seller Inventory # 9780817647988
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Advances in Data Analysis : Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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, including 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, and 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. Seller Inventory # 9780817647988
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ADVANCES IN DATA ANALYSIS
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