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Modeling with Data
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Modeling with Data : Tools and Techniques for Scientific Computing

Book Details

Format Hardback or Cased Book
ISBN-10 069113314X
ISBN-13 9780691133140
Publisher Princeton University Press
Imprint Princeton University Press
Country of Manufacture US
Country of Publication GB
Publication Date Oct 26th, 2008
Print length 472 Pages
Weight 1,138 grams
Dimensions 26.70 x 18.60 x 3.10 cms
Ksh 17,100.00
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Explains how to execute computationally intensive analysis on very large data sets. This book shows readers how to determine some of the best methods for solving a variety of different problems, how to create and debug statistical models, and how to run an analysis and evaluate the results.

Modeling with Data fully explains how to execute computationally intensive analyses on very large data sets, showing readers how to determine the best methods for solving a variety of different problems, how to create and debug statistical models, and how to run an analysis and evaluate the results.


Ben Klemens introduces a set of open and unlimited tools, and uses them to demonstrate data management, analysis, and simulation techniques essential for dealing with large data sets and computationally intensive procedures. He then demonstrates how to easily apply these tools to the many threads of statistical technique, including classical, Bayesian, maximum likelihood, and Monte Carlo methods. Klemens''s accessible survey describes these models in a unified and nontraditional manner, providing alternative ways of looking at statistical concepts that often befuddle students. The book includes nearly one hundred sample programs of all kinds. Links to these programs will be available on this page at a later date.



Modeling with Data will interest anyone looking for a comprehensive guide to these powerful statistical tools, including researchers and graduate students in the social sciences, biology, engineering, economics, and applied mathematics.


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