proposition 11.72 Nuisance parameters cost information

open in the book · parts/02-mathematical-methods/09-probability-statistics.tex:2238 · p. 397

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proposition 11.72: Nuisance parameters cost information11.72definition 11.60: Score and Fisher information11.60theorem 11.67: Asymptotics of the MLE11.67proof : ch:09-probability-statistics@proof-31proofdefinition 11.53: Statistical model11.53definition 11.59: Regularity conditions11.59lemma 11.61: Score identities11.61proposition 113.15: Why categorizing helps, and by how much113.15theorem 11.64: Cramér–Rao inequality11.64corollary 11.51: Weak law of large numbers11.51definition 11.56: Maximum-likelihood estimator11.56lemma 11.52: Slutsky11.52theorem 11.46: Central limit theorem, Lindeberg–Lévy11.46theorem 11.88: Wilks11.88proof : ch:09-probability-statistics@proof-27proofproof : ch:09-probability-statistics@proof-29proof

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typedirectionnode provenancewhere
depends_on Score and Fisher information declared parts/02-mathematical-methods/09-probability-statistics.tex:2253
depends_on Asymptotics of the MLE declared parts/02-mathematical-methods/09-probability-statistics.tex:2253
proves ch:09-probability-statistics@proof-31 declared parts/02-mathematical-methods/09-probability-statistics.tex:2256