A hands-on approach to the basic principles of empirical model building. Includes a series of real-world statistical problems illustrating modeling skills and techniques. Covers models of growth and decay, systems where competition and interaction add to the complexity of the model, and discusses both classical and nonclassical data analysis methods.
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Models of Growth and Decay. |
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Models of Competition, Combat, and Epidemic. |
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Simulation and the Coming Qualitative Change in Scientific Modeling. |
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Some Techniques of Nonstandard Data Analysis. |
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Paradoxes and False Trails. |
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