James R. Thompson, PhD, is Noah Harding Professor of Statistics at Rice University, where he was founding chairman of the Department of Statistics. A frequent consultant to government and the private sector, he holds adjunct professorships at the MD Anderson Cancer Center and the University of Texas School of Public Health. A Fellow of the American Statistical Association (ASA) and the International Statistical Institute, Dr. Thompson was the recipient of the Army Wilks Award for his work in defense-related data analysis and modeling, and was also the recipient of the ASA's Don Owen Award for his work in statistical process control. He is the author of Simulation: A Modeler's Approach and coauthor of Models for Investors in Real World Markets, both published by Wiley.

“It is also an excellent reference for applied statisticians and researchers who carry out quantitative modeling in their everyday work.”  (Mathematical Reviews, 2012)"Empirical Model Building, Second Edition is an excellent reference for applied statisticians and researchers who carry out quantitative modeling in their everyday work." (TMCnet.com, 18 January 2012)

• 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.

James R. Thompson, PhD, is Noah Harding Professor of Statistics at Rice University, where he was founding chairman of the Department of Statistics. A frequent consultant to government and the private sector, he holds adjunct professorships at the MD Anderson Cancer Center and the University of Texas School of Public Health. A Fellow of the American Statistical Association (ASA) and the International Statistical Institute, Dr. Thompson was the recipient of the Army Wilks Award for his work in defense-related data analysis and modeling, and was also the recipient of the ASA's Don Owen Award for his work in statistical process control. He is the author of Simulation: A Modeler's Approach and coauthor of Models for Investors in Real World Markets, both published by Wiley.

“It is also an excellent reference for applied statisticians and researchers who carry out quantitative modeling in their everyday work.”  (Mathematical Reviews, 2012)"Empirical Model Building, Second Edition is an excellent reference for applied statisticians and researchers who carry out quantitative modeling in their everyday work." (TMCnet.com, 18 January 2012)

• 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.