Author:
Edition: 2010
Publisher: Birkhäuser
Binding: Hardcover
ISBN: 0817647988
Advances in Data Analysis: Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks (Statistics for Industry and Technology)
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. Medical books Advances in Data Analysis. Medical books Advances In Data Analysis V: 5Th International Conference On Intelligent Data Analysis, Ida 2003, Berlin, Germany, August 28-30, 2003 : Proceedings. New Paperback.
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Advances in Data Analysis, Data Handling and Business Intelligence: Proceedings of the 32nd Annual Conference of the Gesellschaft fr Klassifikation eV, ... Data Analysis, and Knowledge Organization), ISBN-13: 9783642010439, ISBN-10: 3642010431
Springer 9783642010439 Advances in Data Analysis, Data Handling and Business Intelligence: Proceedings of the 32nd Annual Conference of the Gesellschaft Fur Klassifikation e Description *Author: Fink, Andreas/ Lausen, Berthold/ Seidel, Wilfried *Series Title: Studies in Classification, Data Analysis, and Knowledge Organization (Paperback) *Binding Type: Paperback *Number of Pages: 791 *Publication Date: 2009/11/05 *Language: English *Dimensions: 9.00 x 6.10 x 1.70 inches SKU: UBM9783642010439 P
Store Search search Title, ISBN and Author Advances in Data Analysis: Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks by Christos H. Skiadas Estimated delivery 3-12 business days Format Hardcover Condition Brand New Selected from the 12th International Conference on Applied Stochastic Models and Data Analysis, these essays present developments in data analysis with applications to economics and production, credit risk assessm
Medical Book Advances in Data Analysis
The book is a useful reference for graduate students, researchers, and practitioners in statistics, mathematics, engineering, economics, social science, bioengineering, and bioscience.
