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Advances in Data Analysis: Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks 2010 Edition
Contributor(s): Skiadas, Christos H. (Editor)
ISBN: 0817647988     ISBN-13: 9780817647988
Publisher: Birkhauser
OUR PRICE:   $189.99  
Product Type: Hardcover - Other Formats
Published: December 2009
Qty:
Annotation:

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 economics and production, credit risk assessment, lifetime data analysis, risk models, supervised prediction with neural networks, and support models.

The chapters emphasize new results with potential for solving real-world problems in various areas, including

* Reliability and Inference

* Data Mining

* Multi-way Data

* Analysis of Textual Data

* Bioinformatics

* Information Theory

* Statistical Applications

Advances in Data Analysis is a useful reference for graduate students, researchers, and practitioners in statistics, mathematics, engineering, economics, social science, bioengineering, and bioscience.

Additional Information
BISAC Categories:
- Mathematics | Probability & Statistics - General
- Mathematics | Applied
- Business & Economics | Operations Research
Dewey: 003.76
LCCN: 2009939133
Series: Statistics for Industry and Technology
Physical Information: 0.88" H x 7" W x 10" (1.96 lbs) 364 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

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.