Empirical model building data, models, and reality /
"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 techniqu...
保存先:
| 第一著者: | |
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| 団体著者: | |
| フォーマット: | 電子媒体 eBook |
| 言語: | 英語 |
| 出版事項: |
Hoboken, N.J. :
John Wiley & Sons,
c2011.
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| 版: | 2nd ed. |
| シリーズ: | Wiley series in probability and statistics ;
794. |
| 主題: | |
| オンライン･アクセス: | An electronic book accessible through the World Wide Web; click to view |
| タグ: |
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| 要約: | "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"-- |
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| 物理的記述: | xvii, 430 p. : ill. |
| 書誌: | Includes bibliographical references and index. |