Tools and Techniques for Scientific Computing

Auteur: Klemens, Ben
Editeur: Princeton University Press
Publication: 2008
Edition n°:
ISBN: 978-0-69113314-0
e-ISBN:
 
Lire le livre Table des matières Partager le livre
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.
Voir toute la description
 

Score

0

Thématiques

Tags

Dossiers

Présent dans 0dossiers publics

Dossiers

Présent dans 0dossiers privés

Etagères de cours

0

Notes

0

Groupes

0

Commentaires

0

Videos

En ligne actuellement

Derniers commentaires