Empirical Model Building
Data, Models, and Reality
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 techniqu…
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Produktdetails
- ISBN: 978-1-118-10962-5
- EAN: 9781118109625
- Produktnummer: 13850653
- Verlag: Wiley
- Sprache: Englisch
- Erscheinungsjahr: 2011
- Seitenangabe: 464 S.
- Plattform: PDF
- Masse: 20'097 KB
- Auflage: 2. Aufl.
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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