**Modeling with Data: Tools and Techniques for Scientific Computing**

by Ben Klemens

**Publisher**: Princeton University Press 2009**ISBN/ASIN**: 069113314X**ISBN-13**: 9780691133140**Number of pages**: 470

**Description**:

The book 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. 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.

Download or read it online for free here:

**Download link**

(4.3MB, PDF)

## Similar books

**From Algorithms to Z-Scores: Probabilistic and Statistical Modeling in Computer Science**

by

**Norm Matloff**-

**University of California, Davis**

The materials here form a textbook for a course in mathematical probability and statistics for computer science students. Computer science examples are used throughout, in areas such as: computer networks; data and text mining; computer security...

(

**5767**views)

**The Nature of Code: Simulating Natural Systems with Processing**

by

**Daniel Shiffman**-

**The Nature of Code**

This book focuses on a range of programming strategies and techniques behind computer simulations of natural systems, from elementary concepts in mathematics and physics to more advanced algorithms that enable sophisticated visual results.

(

**8596**views)

**Modelling and Simulation**

by

**Giuseppe Petrone, Giuliano Cammarata**-

**InTech**

This book collects research studies concerning modeling and simulation of physical systems in a very wide range of applications: micro-electro-mechanical systems, measurement instrumentations, catalytic reactors, biomechanical applications, etc.

(

**11638**views)

**Computer Simulation Techniques - The Definitive Introduction**

by

**Harry Perros**-

**NC State University**

The generation of pseudo-random numbers, the generation of stochastic variates, simulation designs, estimation techniques for analyzing endogenously created data, validation of a simulation model, variance reduction techniques, etc.

(

**12506**views)