Likelihood-ratio test

A hypothesis test comparing the likelihoods of two nested models to assess whether the restrictions imposed by the null model are supported by the data. The test statistic Λ = −2 ln(L₀/L₁) converges to a chi-squared distribution in large samples; the Neyman-Pearson lemma establishes it as the most powerful test.