lemma 11.83 Gaussian quadratic forms

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lemma 11.83: Gaussian quadratic forms11.83definition 11.80: Chi-squared11.80corollary 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.214theorem 11.88: Wilks11.88proof : ch:09-probability-statistics@proof-36proofcorollary 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 variance11.81theorem 2.10: Weighted mean2.10proof : ch:09-probability-statistics@proof-37proofequation 2.4: eq:meas-weighted-mean2.4phenomenon 33.16: The least well determined of the constants33.16lemma A.213: The three minimaA.213theorem A.206: Cramér–Wold, and continuous mappingA.206proof : app:A-long-proofs@proof-132proofdefinition 11.87: Likelihood-ratio test statistic11.87definition 11.59: Regularity conditions11.59lemma 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-4proof

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typedirectionnode provenancewhere
depends_on Chi-squared declared parts/02-mathematical-methods/09-probability-statistics.tex:2560
depends_on Residuals about a weighted mean; the Birge ratio declared parts/02-mathematical-methods/09-probability-statistics.tex:2607
depends_on The six values are mutually inconsistent, and by how much declared parts/03-classical-mechanics/16-exp-cavendish.tex:1171
depends_on Wilks, $k$ parameters and $r$ constraints declared appendices/A-long-proofs.tex:10914
depends_on Wilks declared parts/02-mathematical-methods/09-probability-statistics.tex:2720
proves ch:09-probability-statistics@proof-36 declared parts/02-mathematical-methods/09-probability-statistics.tex:2563