Testing Statistical Models
Testing Statistical Models is the process of evaluating the performance of a statistical model on a given dataset. It involves comparing the predicted values of the model with the actual values of the dataset. The purpose of testing statistical models is to assess the accuracy and reliability of the model and to identify any potential issues or limitations. This process is essential in ensuring that the model is suitable for the intended purpose and that it can be used to make accurate predictions. There are various methods for testing statistical models, including cross-validation, hypothesis testing, and goodness-of-fit tests.
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