Modeling with Data: Tools and Techniques for Scientific Computing

Hardback

Main Details

Title Modeling with Data: Tools and Techniques for Scientific Computing
Authors and Contributors      By (author) Ben Klemens
Physical Properties
Format:Hardback
Pages:472
Dimensions(mm): Height 254,Width 178
Category/GenreDatabase programming
ISBN/Barcode 9780691133140
ClassificationsDewey:519.5
Audience
Tertiary Education (US: College)
Professional & Vocational
Illustrations 35 line illus. 16 tables.

Publishing Details

Publisher Princeton University Press
Imprint Princeton University Press
Publication Date 26 October 2008
Publication Country United States

Description

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.

Author Biography

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

"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