Empirical model building : data, models, and reality / James R. Thompson.
"This book presents a hands-on approach to the basic principles of empirical model building through the shrewd mixture of differential equations, computer-intensive methods, and data in a single-volume. It includes a series of real-world statistical problems illustrating modeling skills and tec...
Saved in:
| Online Access: |
Full Text (via ProQuest) |
|---|---|
| Main Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Hoboken, N.J. :
John Wiley & Sons,
©2011.
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| Edition: | 2nd ed. |
| Series: | Wiley series in probability and statistics.
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| Subjects: |
MARC
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| 100 | 1 | |a Thompson, James R. |q (James Robert), |d 1938- |0 http://id.loc.gov/authorities/names/n78003268 |1 http://isni.org/isni/0000000109332026. | |
| 245 | 1 | 0 | |a Empirical model building : |b data, models, and reality / |c James R. Thompson. |
| 250 | |a 2nd ed. | ||
| 260 | |a Hoboken, N.J. : |b John Wiley & Sons, |c ©2011. | ||
| 300 | |a 1 online resource (xvii, 430 pages) : |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent. | ||
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| 490 | 1 | |a Wiley series in probability and statistics. | |
| 505 | 0 | |a 1. Models of Growth and Decay -- 2. Models of Competition, Survival, and Combat -- 3. Epidemics -- 4. Bootstrapping -- 5. Monte Carlo Solutions of Differential Equations -- 6. SIMEST, SIMDAT, and Pseudoreality -- 7. Exploratory Data Analysis -- 8. Noise Killing Chaos -- 9. A Primer in Bayesian Data Analysis -- 10. Multivariate and Robust Procedures in Statistical Process Control -- 11. Considerations for Optimization and Estimation in the Real (Noisy) World -- 12. Utility and Group Preference -- 13. A Primer in Sampling -- 14. Stock Market: Strategies Based on Data versus Strategies Based on Ideology -- Appendix A. A Brief Introduction to Probability and Statistics -- Appendix B. Statistical Tables. | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a "This book presents a hands-on approach to the basic principles of empirical model building through the shrewd mixture of differential equations, computer-intensive methods, and data in a single-volume. It includes a series of real-world statistical problems illustrating modeling skills and techniques that are applicable to a broad range of audiences from applied statisticians to practicing MBAs. It covers models of growth and decay, systems where competition and interaction add to the complexity of the model, and discusses both classical and non-classical data analysis methods, alongside an extended list of more than twenty essential topics. The author also includes numerous exercises, an emphasis on computational finance and Bayesian techniques, and timely discussions of epidemics, quality control, and chaos in a dynamic world"-- |c Provided by publisher. | ||
| 588 | |a Description based on print version record. | ||
| 650 | 0 | |a Experimental design. |0 http://id.loc.gov/authorities/subjects/sh85046441. | |
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| 650 | 0 | |a Mathematical statistics. |0 http://id.loc.gov/authorities/subjects/sh85082133. | |
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| 650 | 7 | |a Mathematical models. |2 fast |0 (OCoLC)fst01012085. | |
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| 776 | 0 | 8 | |i Print version: |a Thompson, James R. (James Robert), 1938- |t Empirical model building. |b 2nd ed. |d Hoboken, N.J. : John Wiley & Sons, c2011 |z 9780470467039 |w (DLC) 2011013569 |w (OCoLC)711044720. |
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