Modeling with Data | Tools and Techniques for Scientific Computing

Ben Klemens

ISBN 10: 069113314X / ISBN 13: 9780691133140

Published by Princeton University Press, 2008

About this Item

Modeling with Data | Tools and Techniques for Scientific Computing | Ben Klemens | Buch | Einband - fest (Hardcover) | Englisch | 2008 | Princeton University Press | EAN 9780691133140 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 108099767

Bibliographic Details

• Title: Modeling with Data | Tools and Techniques for Scientific Computing
• Publisher: Princeton University Press
• Publication Date: 2008
• Language: English
• ISBN 10: 069113314X
• ISBN 13: 9780691133140
• Binding: Buch
• Condition: Neu
• Dimensions: 260W x 183H x 30D millimeters 260 millimeters width by 183 millimeters height by 30 millimeters depth
• Weight: 1075 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

About the Author

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.