definition 11.53 Statistical model

open in the book · parts/02-mathematical-methods/09-probability-statistics.tex:1568 · p. 389

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definition 11.53: Statistical model11.53definition 11.60: Score and Fisher information11.60definition 11.54: Likelihood11.54definition 11.59: Regularity conditions11.59definition 11.74: Hypotheses and tests11.74lemma 11.61: Score identities11.61proposition 113.15: Why categorizing helps, and by how much113.15proposition 11.72: Nuisance parameters cost information11.72theorem 11.64: Cramér–Rao inequality11.64definition 11.87: Likelihood-ratio test statistic11.87definition 11.56: Maximum-likelihood estimator11.56definition 11.70: Profile likelihood11.70lemma A.209: Uniform third-order remainderA.209remark 11.90: Failure I: a parameter on the boundary11.90theorem 11.67: Asymptotics of the MLE11.67theorem 11.88: Wilks11.88definition 11.75: p-value11.75proposition 11.76: Uniformity11.76theorem 11.78: Neyman–Pearson11.78

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depends_on Score and Fisher information declared parts/02-mathematical-methods/09-probability-statistics.tex:1714
depends_on Likelihood declared parts/02-mathematical-methods/09-probability-statistics.tex:1602
depends_on Regularity conditions declared parts/02-mathematical-methods/09-probability-statistics.tex:1691
depends_on Hypotheses and tests declared parts/02-mathematical-methods/09-probability-statistics.tex:2313