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{ "item_title" : "Advances in Data Analysis", "item_author" : [" Christos H. Skiadas "], "item_description" : "This unified volume 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 book is a useful reference for graduate students, researchers, and practitioners in statistics, mathematics, engineering, economics, social science, bioengineering, and bioscience.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/0/81/764/798/0817647988_b.jpg", "price_data" : { "retail_price" : "199.99", "online_price" : "199.99", "our_price" : "199.99", "club_price" : "199.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Advances in Data Analysis|Christos H. Skiadas

Advances in Data Analysis : Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks

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Overview

This unified volume 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 book is a useful reference for graduate students, researchers, and practitioners in statistics, mathematics, engineering, economics, social science, bioengineering, and bioscience.

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Details

  • ISBN-13: 9780817647988
  • ISBN-10: 0817647988
  • Publisher: Birkhauser
  • Publish Date: December 2009
  • Dimensions: 10 x 7 x 0.88 inches
  • Shipping Weight: 1.96 pounds
  • Page Count: 364

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