----- 实验模型建立:数据、模型与现实 第2版
Preface. 1.Models of Growth and Decay. 2. Models of Competition, Survival, and Combat. 3. Epidemics. 4. Bootstrapping. 5. Monte-Carlo Solution of Differential Equations. 6. SIMEST, SMIDAT, and Psuedoreality. 7. Exploratory Data Analysis. 8. Noise Killing Chaos. 9. Bayesian Approaches. 10. Multivariate and Robust Procedures in Statistical Process Control. 11. 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.
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