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.
KeywordsDistribution Model Conditional Distribution Time Series Model Cauchy Distribution Polynomial Regression Model
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