Modeling with Data

Tools and Techniques for Scientific Computing

Szerző: Ben Klemens

Nyelv:

Kötés: Kemény kötésű

Kiadó: Princeton University Press

Elérhetőség: Beszállítói készleten

Küldés 10-13 napon belül

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

Információk a könyvről

Szerző

Ben Klemens

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2008

oldal

472

EAN

9780691133140

ISBN

069113314X

Enbook ID

04641307

Kiadó

Princeton University Press

Súly

1138

Méretek

186 x 267 x 31

Teljes leírás

"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

Információk a könyvről

Teljes leírás

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Azok a vásárlók, akik ezt a könyvet megvásárolták, a következőket is megvásárolták