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Empirical model building : = data, m...

Thompson, James R. (1938-.)

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Empirical model building : = data, models, and reality /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Empirical model building :/ James R. Thompson.
其他題名:	data, models, and reality /
作者:	Thompson, James R.
出版者:	Hoboken, N.J. :John Wiley & Sons, : c2011.,
面頁冊數:	xvii, 430 p. :ill. ;25 cm.
內容註:	Models of growth and decay -- Models of competition, survival, and combat -- Epidemics -- Bootstrapping -- Monte-Carlo solution of differential equations -- SIMEST, SMIDAT, and psuedoreality -- Exploratory data analysis -- Noise killing chaos -- Bayesian approaches -- Multivariate and robust procedures in statistical process control -- Optimization and estimation in the real (noisy) world -- Utility and group preference -- A primer in sampling -- Stock market: strategies based on data versus strategies based on ideology -- Appendix A. A brief Introduction to probability and statistics -- Appendix B. Statistical tables.
標題:	Experimental design. -
ISBN:	9780470467039 (hbk.) :

Empirical model building : = data, models, and reality /
Thompson, James R.1938-.

Empirical model building :data, models, and reality /James R. Thompson. - 2nd ed. - Hoboken, N.J. :John Wiley & Sons,c2011. - xvii, 430 p. :ill. ;25 cm. - Wiley series in probability and statistics.. - Wiley series in probability and statistics..

Includes bibliographical references and index.

Models of growth and decay -- Models of competition, survival, and combat -- Epidemics -- Bootstrapping -- Monte-Carlo solution of differential equations -- SIMEST, SMIDAT, and psuedoreality -- Exploratory data analysis -- Noise killing chaos -- Bayesian approaches -- Multivariate and robust procedures in statistical process control -- Optimization and estimation in the real (noisy) world -- Utility and group preference -- A primer in sampling -- Stock market: strategies based on data versus strategies based on ideology -- Appendix A. A brief Introduction to probability and statistics -- Appendix B. Statistical tables.

"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"--

ISBN: 9780470467039 (hbk.) :US125.00

LCCN: 2011013569Subjects--Topical Terms:

524737
Experimental design.

LC Class. No.: QA279 / .T49 2011

Dewey Class. No.: 519.5/7

Empirical model building : = data, models, and reality /
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245 1 0 $a Empirical model building : $b data, models, and reality / $c James R. Thompson.
250 $a 2nd ed.
260 # $a Hoboken, N.J. : $b John Wiley & Sons, $c c2011.
300 $a xvii, 430 p. : $b ill. ; $c 25 cm.
490 1 0 $a Wiley series in probability and statistics.
504 $a Includes bibliographical references and index.
505 0 # $a Models of growth and decay -- Models of competition, survival, and combat -- Epidemics -- Bootstrapping -- Monte-Carlo solution of differential equations -- SIMEST, SMIDAT, and psuedoreality -- Exploratory data analysis -- Noise killing chaos -- Bayesian approaches -- Multivariate and robust procedures in statistical process control -- Optimization and estimation in the real (noisy) world -- Utility and group preference -- A primer in sampling -- Stock market: strategies based on data versus strategies based on ideology -- Appendix A. A brief Introduction to probability and statistics -- Appendix B. Statistical tables.
520 # $a "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"-- $c Provided by publisher.
650 # 0 $a Experimental design. $3 524737
650 # 0 $a Mathematical models. $3 522882
650 # 0 $a Mathematical statistics. $3 516858
830 0 $a Wiley series in probability and statistics. $3 1275543