Modeling with data : tools and techniques for scientific computing / Ben Klemens.

Format:

Book

Author/Creator:

Klemens, Ben.

Language:

English

Subjects (All):

Mathematical statistics.

Mathematical models.

Physical Description:

1 online resource (471 p.)

Edition:

Course Book

Place of Publication:

Princeton, N.J. : Princeton University Press, c2009.

Language Note:

English

Summary:

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.

Contents:

Frontmatter

Contents

Preface

Chapter 1. Statistics in the modern day

Part I. Computing

Chapter 2. C

Chapter 3. Databases

Chapter 4. Matrices and models

Chapter 5. Graphics

Chapter 6. More coding tools

Part II. Statistics

Chapter 7. Distributions for description

Chapter 8. Linear projections

Chapter 9. Hypothesis testing with the CLT

Chapter 10. Maximum likelihood estimation

Chapter 11. Monte Carlo

Appendix A: Environments and makefiles

Appendix B: Text processing

Appendix C: Glossary

Bibliography

Index

Notes:

Description based upon print version of record.

Includes bibliographical references (p. [435]-442) and index.

ISBN:

9786612458330

9781282458338

1282458337

9781400828746

1400828740

OCLC:

647874647