Empirical Model Building
Data, Models, and Reality
Praise for the First EditionThis . . . 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 ReviewsThis new edition features developments and real-world examples that showcase essential empirical modeling techniquesSuccessful 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 f…
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Produktdetails
- ISBN: 978-0-470-46703-9
- EAN: 9780470467039
- Produktnummer: 22453901
- Verlag: Wiley
- Sprache: Englisch
- Erscheinungsjahr: 2011
- Seitenangabe: 464 S.
- Masse: H23.5 cm x B16.3 cm x D2.9 cm 762 g
- Auflage: 2. A.
- Gewicht: 762
Über den 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.
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