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The likelihood ratio is the ratio of the likelihoods of two models (or a null and alternative parameter value within a single model), which may be used to compare or test the models. If either model is not fully specified then its maximum likelihood over all free parameters is used - this is sometimes called a generalized likelihood ratio.
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Calculation of a p-value
there is this thing that bothers me so much about the likelihood ratio test application in GLMs.
Suppose we want to test whether we can drop some of the covariates for the model. Than we expect the …
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Likelihood ratio test for mixed effects model
I'm currently struggling with how to assess the type I error of a permutation test for significance of variance term in R. The idea that I want to follow is outlined below:
Suppose we simulate data su …