Empirical Model Building: Data, Models, and Reality by James R. Thompson (Englis

Description: Empirical Model Building by James R. Thompson * First Edition users testify that the book is well written and expertly documented. * The reader is introduced to provocative pointers such as the relevance of graphs, the meaning of interpretation, Henry Ford s Code of Practice, and Deming s 14 points, among others. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description 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. Back Cover 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. This new edition features developments and real-world examples that showcase essential empirical modeling techniques useful in various applications such as exploratory data analysis, diplomacy, combat, quality control, sampling, epidemiology, oncology, simulation-based solutions of differential equations, empirical investment strategies data-based modeling, and analysis of data sets of high dimensionality. The book continues to review models of growth and decay, systems where competition and interaction add to the complexity of the model while discussing both classical and non-classical data analysis methods. It 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. Flap 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. This new edition features developments and real-world examples that showcase essential empirical modeling techniques useful in various applications such as exploratory data analysis, diplomacy, combat, quality control, sampling, epidemiology, oncology, simulation-based solutions of differential equations, empirical investment strategies data-based modeling, and analysis of data sets of high dimensionality. The book continues to review models of growth and decay, systems where competition and interaction add to the complexity of the model while discussing both classical and non-classical data analysis methods. It 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. Author Biography 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 ASAs Don Owen Award for his work in statistical process control. He is the author of Simulation: A Modelers Approach and coauthor of Models for Investors in Real World Markets, both published by Wiley. Table of Contents 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. Review "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) Long Description 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. This new edition features developments and real-world examples that showcase essential empirical modeling techniques useful in various applications such as exploratory data analysis, diplomacy, combat, quality control, sampling, epidemiology, oncology, simulation-based solutions of differential equations, empirical investment strategies data-based modeling, and analysis of data sets of high dimensionality. The book continues to review models of growth and decay, systems where competition and interaction add to the complexity of the model while discussing both classical and non-classical data analysis methods. It 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. Review Text ?It is also an excellent reference for applied statisticians and researchers who carry out quantitative modeling in their everyday work.?Â (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) Â Review Quote "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) Details ISBN0470467037 Author James R. Thompson Short Title EMPIRICAL MODEL BUILDING 2/E Series Wiley Series in Probability and Statistics Language English Edition 2nd ISBN-10 0470467037 ISBN-13 9780470467039 Media Book Format Hardcover Series Number 794 Year 2011 Subtitle Data, Models, and Reality Affiliation Rice Univ., TX Noah Harding Professor of Statistics, Rice Univ. TX Noa Country of Publication United States DEWEY 511.8 Imprint John Wiley & Sons Inc Place of Publication New York UK Release Date 2011-12-02 Replaces 9780471601050 AU Release Date 2011-10-17 NZ Release Date 2011-10-17 Pages 464 Publisher John Wiley & Sons Inc Edition Description 2nd edition Publication Date 2011-12-02 Illustrations Tables: 50 B&W, 0 Color; Graphs: 25 B&W, 0 Color Audience Professional & Vocational US Release Date 2011-12-02 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 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