Modeling with Data : Tools and Techniques for Scientific Computing /

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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
Main Author: Klemens, Ben
Format: Electronic eBook
Language:Inglés
Published: Princeton, N.J. : Princeton University Press, 2009.
Series:Book collections on Project MUSE.
Subjects:
Mathematical statistics.
Mathematical models.
COMPUTERS > Data Modeling & Design.
mathematical models.
Modeles mathematiques.
Electronic book.
Electronic books.
Online Access:Texto completo
Table of Contents:
  • Preliminaries; CONTENTS; Chapter 1. Statistics in the modern day; Chapter 2. C; Chapter 3. Databases; Chapter 4. Matrices and models; Chapter 5. Graphics; Chapter 6. More coding tools; 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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