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Advances in Data Analysis: Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks
Skiadas, Christos H.
Pricing & Availability
Available: Yes*
This title does not qualify for any discount.
Book Information
Edition:
1st
Publisher:
Birkhauser
ISBN:
0-8176-4799-6 (0817647996)
ISBN-13:
978-0-8176-4799-5 (9780817647995)
Binding:
E E Book + ProQuest Ebook Central
Copyright:
2010
Publish Date:
12/09
Weight:
0.00 Lbs.
Subject Class:
MTH (Mathematics)
Return Policy:
Non-Returnable.
Table Of Contents:
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Class Specifications
ISSN Series:
Statistics for Industry and Technology
Abstract:
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. Advances in Data Analysis is a useful reference for graduate students, researchers, and practitioners in statistics, mathematics, engineering, economics, social science, bioengineering, and bioscience.
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