Empirical Model Building (eBook)

Data, Models, and Reality

James R. Thompson (Autor)

eBook Download: PDF

2011 | 2. Auflage
464 Seiten
John Wiley & Sons (Verlag)
978-1-118-10962-5 (ISBN)

Infos

Praise for the First Edition



"This...novel and highly stimulating book, which emphasizes
solving real problems...should be widely read. It will have a
positive and lasting effect on the teaching of modeling and
statistics in general." - Short Book Reviews

This new edition features developments and real-world
examples that showcase essential empirical modeling
techniques

Successful empirical model building is founded on the
relationship between data and approximate representations of the
real systems that generated that data. As a result, it is essential
for researchers who construct these models to possess the special
skills and techniques for producing results that are insightful,
reliable, and useful. Empirical Model Building: Data, Models,
and Reality, Second Edition presents a hands-on approach to the
basic principles of empirical model building through a shrewd
mixture of differential equations, computer-intensive methods, and
data. The book outlines both classical and new approaches and
incorporates numerous real-world statistical problems that
illustrate modeling approaches that are applicable to a broad range
of audiences, including applied statisticians and practicing
engineers and scientists.

The book continues to review models of growth and decay, systems
where competition and interaction add to the complextiy of the
model while discussing both classical and non-classical data
analysis methods. This Second Edition now features further coverage
of momentum based investing practices and resampling techniques,
showcasing their importance and expediency in the real world. The
author provides applications of empirical modeling, such as
computer modeling of the AIDS epidemic to explain why North America
has most of the AIDS cases in the First World and data-based
strategies that allow individual investors to build their own
investment portfolios. Throughout the book, computer-based analysis
is emphasized and newly added and updated exercises allow readers
to test their comprehension of the presented material.

Empirical Model Building, Second Edition is a suitable
book for modeling courses at the upper-undergraduate and
graduate levels. It is also an excellent reference for applied
statisticians and researchers who carry out quantitative modeling
in their everyday work.

Autor

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.

Inhalt

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.

Rezensionen

"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)

Produkt-Details

• Erscheint lt. Verlag: 30.11.2011
• Reihe/Serie: Wiley Series in Probability and Statistics
• Reihe/Serie: Wiley Series in Probability and Statistics
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Themenwelt: Technik
• Schlagworte: Angew. Wahrscheinlichkeitsrechn. u. Statistik / Modelle • Applied Probability & Statistics - Models • Economics • Finanz- u. Wirtschaftsstatistik • Statistics • Statistics for Finance, Business & Economics • Statistik • Volkswirtschaftslehre
• ISBN-10: 1-118-10962-7 / 1118109627
• ISBN-13: 978-1-118-10962-5 / 9781118109625