Hypothesis testing allows for testing an idea regarding a parameter of interest in a particular population set, using information that has been measured in a sample set.

Hypothesis testing is a procedure for evaluating the strength of a hypothesis. The methodology depends on the data and the reason for the analysis.

In this paper, we develop a classical approach to model selection. Using the Kullback-Leibler Information Criterion to measure the closeness of a model to the truth, we propose simple likelihood-ratio ...