Advances in Data Analysis: Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks
Language: English
Published by Birkh?user, 2009
- Hardcover
- New
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
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Condition: New
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2009. Hardcover. . . . . .
Seller Inventory # V9780817647988
- Title
- Advances in Data Analysis: Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks
- Author
- N/A
- Publisher
- Birkh?user
- Publication year
- 2009
- Condition
- New
- Binding
- Hardcover
- 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, 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 the title" may belong to another edition of this title.
Kennys Bookshop and Art Galleries Ltd.
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