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In mathematical statistics, Wilks' theorem refers to result that twice the log likelihood ratio for nested models is asymptotically chi-squared, with degrees of freedom equal to the number of restrictions. This meaning comes from Wilks (1938) in The Annals of Mathematical Statistics.[1]
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