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Statistical Models

Part of the Springer Series in Statistics book series (SSS)

In this chapter, we describe probability distributions, which provide fundamental tools for statistical models, and show that conditional distributions are used to acquire various types of information in the model-building process. By using regression and time series models as specific examples, we also discuss why evaluation of statistical models is necessary.

Keywords

Distribution Model Conditional Distribution Time Series Model Cauchy Distribution Polynomial Regression Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2008

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