theorem 11.67 Asymptotics of the MLE

open in the book · parts/02-mathematical-methods/09-probability-statistics.tex:1934 · p. 394

Rests on

Supports

Neighborhood

Every logical edge within two steps of this node.

theorem 11.67: Asymptotics of the MLE11.67corollary 11.51: Weak law of large numbers11.51definition 11.56: Maximum-likelihood estimator11.56definition 11.59: Regularity conditions11.59lemma 11.61: Score identities11.61lemma 11.52: Slutsky11.52theorem 11.46: Central limit theorem, Lindeberg–Lévy11.46proposition 11.72: Nuisance parameters cost information11.72theorem 11.88: Wilks11.88proof : ch:09-probability-statistics@proof-27proofproof : ch:09-probability-statistics@proof-29prooflemma 11.50: Markov and Chebyshev inequalities11.50theorem A.205: Weak law under integrability aloneA.205proof : ch:09-probability-statistics@proof-19proofdefinition 11.54: Likelihood11.54definition 11.87: Likelihood-ratio test statistic11.87definition 11.70: Profile likelihood11.70example 11.58: Counting experiment11.58proposition 11.57: Invariance11.57definition 11.60: Score and Fisher information11.60definition 11.53: Statistical model11.53lemma A.209: Uniform third-order remainderA.209remark 11.90: Failure I: a parameter on the boundary11.90theorem 11.64: Cramér–Rao inequality11.64example 11.62: Information in a counting experiment11.62lemma A.208: The three averagesA.208proof : ch:09-probability-statistics@proof-23proofdefinition 11.21: Distribution function11.21theorem A.206: Cramér–Wold, and continuous mappingA.206proof : ch:09-probability-statistics@proof-20proofproof : ch:09-probability-statistics@proof-21prooflemma 11.44: Second-order expansion11.44proposition 11.43: Elementary properties11.43theorem 11.45: Lévy's continuity theorem11.45phenomenon 115.44: A large-scale dipole above 8×10^18 electronvolts115.44proof : ch:09-probability-statistics@proof-17proofproof : ch:09-probability-statistics@proof-31proofdefinition 11.80: Chi-squared11.80lemma 11.83: Gaussian quadratic forms11.83corollary 11.89: Degrees of freedom with nuisance parameters11.89neighborhood truncated

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typedirectionnode provenancewhere
depends_on Weak law of large numbers declared parts/02-mathematical-methods/09-probability-statistics.tex:1949
depends_on Maximum-likelihood estimator declared parts/02-mathematical-methods/09-probability-statistics.tex:1949
depends_on Regularity conditions declared parts/02-mathematical-methods/09-probability-statistics.tex:1949
depends_on Score identities declared parts/02-mathematical-methods/09-probability-statistics.tex:1949
depends_on Slutsky declared parts/02-mathematical-methods/09-probability-statistics.tex:1949
depends_on Central limit theorem, Lindeberg–Lévy declared parts/02-mathematical-methods/09-probability-statistics.tex:1949
depends_on Nuisance parameters cost information declared parts/02-mathematical-methods/09-probability-statistics.tex:2253
depends_on Wilks declared parts/02-mathematical-methods/09-probability-statistics.tex:2720
proves ch:09-probability-statistics@proof-27 declared parts/02-mathematical-methods/09-probability-statistics.tex:1952
proves ch:09-probability-statistics@proof-29 declared parts/02-mathematical-methods/09-probability-statistics.tex:2088