theorem 11.88 Wilks

open in the book · parts/02-mathematical-methods/09-probability-statistics.tex:2708 · p. 403

Rests on

Supports

Neighborhood

Every logical edge within two steps of this node.

theorem 11.88: Wilks11.88definition 11.80: Chi-squared11.80definition 11.87: Likelihood-ratio test statistic11.87definition 11.59: Regularity conditions11.59lemma 11.83: Gaussian quadratic forms11.83lemma 11.52: Slutsky11.52theorem 11.67: Asymptotics of the MLE11.67corollary 11.89: Degrees of freedom with nuisance parameters11.89proof : ch:09-probability-statistics@proof-38proofproof : ch:09-probability-statistics@proof-39proofproof : ch:09-probability-statistics@prooflink-4proofcorollary 11.82: The one degree of freedom tail11.82phenomenon 115.44: A large-scale dipole above 8×10^18 electronvolts115.44proposition 11.81: Density, mean and variance11.81definition 11.54: Likelihood11.54definition 11.56: Maximum-likelihood estimator11.56definition 11.70: Profile likelihood11.70definition A.203: The constraint surfaceA.203definition 11.60: Score and Fisher information11.60definition 11.53: Statistical model11.53lemma A.209: Uniform third-order remainderA.209lemma 11.61: Score identities11.61remark 11.90: Failure I: a parameter on the boundary11.90theorem 11.64: Cramér–Rao inequality11.64corollary 11.84: Residuals about a weighted mean; the Birge ratio11.84example 33.15: The six values are mutually inconsistent, and by how much33.15theorem A.214: Wilks, k parameters and r constraintsA.214proof : ch:09-probability-statistics@proof-36proofdefinition 11.21: Distribution function11.21theorem A.206: Cramér–Wold, and continuous mappingA.206proof : ch:09-probability-statistics@proof-20proofproof : ch:09-probability-statistics@proof-21proofcorollary 11.51: Weak law of large numbers11.51theorem 11.46: Central limit theorem, Lindeberg–Lévy11.46proposition 11.72: Nuisance parameters cost information11.72proof : ch:09-probability-statistics@proof-27proofproof : ch:09-probability-statistics@proof-29proofexample 11.107: Degrading a local five sigma11.107proposition 11.93: Z=\sqrtq11.93proof : ch:09-probability-statistics@proof-40proof

Edges

typedirectionnode provenancewhere
depends_on Chi-squared declared parts/02-mathematical-methods/09-probability-statistics.tex:2720
depends_on Likelihood-ratio test statistic declared parts/02-mathematical-methods/09-probability-statistics.tex:2720
depends_on Regularity conditions declared parts/02-mathematical-methods/09-probability-statistics.tex:2720
depends_on Gaussian quadratic forms declared parts/02-mathematical-methods/09-probability-statistics.tex:2720
depends_on Slutsky declared parts/02-mathematical-methods/09-probability-statistics.tex:2720
depends_on Asymptotics of the MLE declared parts/02-mathematical-methods/09-probability-statistics.tex:2720
depends_on Degrees of freedom with nuisance parameters declared parts/02-mathematical-methods/09-probability-statistics.tex:2815
proves ch:09-probability-statistics@proof-38 declared parts/02-mathematical-methods/09-probability-statistics.tex:2723
proves ch:09-probability-statistics@proof-39 declared parts/02-mathematical-methods/09-probability-statistics.tex:2765
proves ch:09-probability-statistics@prooflink-4 declared parts/02-mathematical-methods/09-probability-statistics.tex:2806