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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....
| Autor principal: | |
|---|---|
| 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 |
MARC
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| 020 | |a 9781400828746 | ||
| 020 | |z 9780691133140 | ||
| 040 | |a MdBmJHUP |c MdBmJHUP | ||
| 100 | 1 | |a Klemens, Ben. | |
| 245 | 1 | 0 | |a Modeling with Data : |b Tools and Techniques for Scientific Computing / |c Ben Klemens. |
| 264 | 1 | |a Princeton, N.J. : |b Princeton University Press, |c 2009. | |
| 264 | 3 | |a Baltimore, Md. : |b Project MUSE, |c 0000 | |
| 264 | 4 | |c ©2009. | |
| 300 | |a 1 online resource: |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 505 | 0 | |a 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. | |
| 520 | |a 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 o. | ||
| 588 | |a Description based on print version record. | ||
| 650 | 7 | |a Mathematical statistics. |2 fast |0 (OCoLC)fst01012127 | |
| 650 | 7 | |a Mathematical models. |2 fast |0 (OCoLC)fst01012085 | |
| 650 | 7 | |a COMPUTERS |x Data Modeling & Design. |2 bisacsh | |
| 650 | 7 | |a mathematical models. |2 aat | |
| 650 | 6 | |a Modeles mathematiques. | |
| 650 | 0 | |a Mathematical models. | |
| 650 | 0 | |a Mathematical statistics. | |
| 655 | 0 | |a Electronic book. | |
| 655 | 7 | |a Electronic books. |2 local | |
| 710 | 2 | |a Project Muse. |e distributor | |
| 830 | 0 | |a Book collections on Project MUSE. | |
| 856 | 4 | 0 | |z Texto completo |u https://projectmuse.uam.elogim.com/book/31099/ |
| 945 | |a Project MUSE - Custom Collection | ||