Modeling with Data: Tools and Techniques for Scientific Computing
by Ben Klemens
|Publisher: Princeton University Press|
|Published Date: 24 March, 2009|
|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.