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

Modeling with Data : : Tools and Techniques for Scientific Computing / / Ben Klemens.

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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....

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013
VerfasserIn:
Klemens, Ben,
Place / Publishing House:Princeton, NJ : : Princeton University Press, , [2008]
©2009
Year of Publication:2008
Edition:Course Book
Language:English
Online Access:
Physical Description:1 online resource (472 p.) :; 35 line illus. 16 tables.
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Table of 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

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