Statistical Inference
A likelihood ratio test is a statistical method used to compare the goodness-of-fit of two models, typically a null hypothesis model and an alternative hypothesis model. This test assesses whether the data supports one model over the other by calculating the ratio of their likelihoods. It plays a critical role in concepts such as sufficiency, properties of maximum likelihood estimators, and asymptotic distributions, providing a framework for hypothesis testing and decision-making in statistics.
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