Modeling with Data

Tools and Techniques for Scientific Computing

Ben Klemens

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Hardback

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English

Princeton University Press
26 October 2008

Data analysis: general; Mathematical & statistical software; Database programming; Database design & theory

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.

By: Ben Klemens
Imprint: Princeton University Press
Country of Publication: United States
Dimensions: Height: 254mm, Width: 178mm, Spine: 25mm
Weight: 1.021kg
ISBN: 9780691133140
ISBN 10: 069113314X
Pages: 472
Publication Date: 26 October 2008
Audience: College/higher education , Professional and scholarly , General/trade , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active

Ben Klemens is a senior statistician at the National Institute of Mental Health. He is also a guest scholar at the Center on Social and Economic Dynamics at the Brookings Institution.

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

This book presents an original, cheap and powerful solution to the problem of analysis of large data sets... The book is devoted mainly to the practitioner of Statistics, but is also useful to mathematicians, computer scientists, researchers and students in the biology, economics and social sciences. -- Radu Trimbitas, StudiaUBB