Empirical model building: data, models, and reality data, models, and reality James R. Thompson
Material type:
TextSeries: Wiley series in probability and statistics: 794.Publisher: Hoboken, N.J. : John Wiley & Sons, c2011Edition: 2nd edDescription: xvii, 430 p. : ill. 25 cmSubject(s): Experimental design | Mathematical models | Mathematical statisticsGenre/Form: Electronic books.DDC classification: 519.57 LOC classification: QA279 | .T49 2011ebOnline resources: Click here for full text. Summary: "This book presents a hands-on approach to the basic principles of empirical model building through the shrewd mixture of differential equations, computer-intensive methods, and data in a single-volume. It includes a series of real-world statistical problems illustrating modeling skills and techniques that are applicable to a broad range of audiences from applied statisticians to practicing MBAs. It covers models of growth and decay, systems where competition and interaction add to the complexity of the model, and discusses both classical and non-classical data analysis methods, alongside an extended list of more than twenty essential topics. The author also includes numerous exercises, an emphasis on computational finance and Bayesian techniques, and timely discussions of epidemics, quality control, and chaos in a dynamic world"--
| Item type | Current location | Home library | Collection | Shelving location | Call number | Status | Date due | Barcode | Item holds |
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Central Library (CL) | Central Library (CL) | NFIC | General Stacks | 519.57 THO (Browse shelf) | Available | SEECS012424 |
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| 519.56 STO 1995 Categorical data analysis using the SAS system / | 519.56 STO 1995 Categorical Data Analysis: | 519.57 MON Design and analysis of experiments | 519.57 THO Empirical model building: data, models, and reality | 519.6 BER Convex optimization theory | 519.6 BOY Convex optimization | 519.6 BOY Convex optimization |
1. Experimental design. 2. Mathematical models. 3. Mathematical statistics.
Includes bibliographical references and index.
"This book presents a hands-on approach to the basic principles of empirical model building through the shrewd mixture of differential equations, computer-intensive methods, and data in a single-volume. It includes a series of real-world statistical problems illustrating modeling skills and techniques that are applicable to a broad range of audiences from applied statisticians to practicing MBAs. It covers models of growth and decay, systems where competition and interaction add to the complexity of the model, and discusses both classical and non-classical data analysis methods, alongside an extended list of more than twenty essential topics. The author also includes numerous exercises, an emphasis on computational finance and Bayesian techniques, and timely discussions of epidemics, quality control, and chaos in a dynamic world"--
Electronic reproduction. Palo Alto, Calif. : ebrary, 2012. Available via World Wide Web. Access may be limited to ebrary affiliated libraries.
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