Modeling with Data: Tools and Techniques for Scientific Computing

by Ben Klemens
Author(s):Ben Klemens
Language: English
Publisher: Princeton University Press
Published Date: 24 March, 2009
ISBN: 069113314X
Total Pages: 470

About the book Modeling with Data: Tools and Techniques for Scientific Computing

Modeling with Data: Tools and Techniques for Scientific Computing is a COMPUTER ENGINEERING book which was published by Princeton University Press on 24 March, 2009 . Ben Klemens is the author of this book. This book is written in English and has 470 number of pages.

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.


Free DOWNLOAD or READ

You can read or download the book Modeling with Data: Tools and Techniques for Scientific Computing from the following links.

Buy\Review\Rating

You can buy, review or give ratings for this book at the following links: