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Modeling with Data : Tools and Techniques for Scientific Computing /
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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| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Princeton, N.J. :
Princeton University Press,
2009.
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| Colección: | Book collections on Project MUSE.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.