- 题名/责任者:
- Empirical model building : data, models, and reality / James R. Thompson.
- 版本说明:
- 2nd ed.
- 出版发行项:
- Hoboken, N.J. : Wiley, c2011.
- ISBN:
- 9780470467039 (hbk.)
- ISBN:
- 9781118109625 (ePDF)
- ISBN:
- 9781118109656 (oBook)
- 载体形态项:
- xvii, 430 p. : ill. ; 25 cm.
- 个人责任者:
- Thompson, James R. (James Robert), 1938-
- 论题主题:
- Experimental design.
- 论题主题:
- Mathematical models.
- 论题主题:
- Mathematical statistics.
- 中图法分类号:
- O212.6
- 书目附注:
- Includes bibliographical references and index.
- 摘要附注:
- "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"--Provided by publisher.
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