Modeling with Data

Tools and Techniques for Scientific Computing

Autor: Ben Klemens

Jazyk:

Väzba: Pevná

Vydavateľ: Princeton University Press

Dostupnosť: Skladom u dodávateľa

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"Modeling with Data" fully explains how to execute computationally intensive analysis on very large...

Informácie o knihe

Autor

Ben Klemens

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2008

Stránok

472

EAN

9780691133140

ISBN

069113314X

Enbook ID

04641307

Vydavateľ

Princeton University Press

Hmotnosť

1138

Rozmery

186 x 267 x 31

Kompletný popis

"Modeling with Data" fully explains how to execute computationally intensive analysis 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' 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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Modeling with Data

Tools and Techniques for Scientific Computing

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