definition 11.60 Score and Fisher information

open in the book · parts/02-mathematical-methods/09-probability-statistics.tex:1703 · p. 391

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definition 11.60: Score and Fisher information11.60definition 11.53: Statistical model11.53definition 11.59: Regularity conditions11.59lemma 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 11.54: Likelihood11.54definition 11.74: Hypotheses and tests11.74lemma 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: Wilks11.88example 11.62: Information in a counting experiment11.62lemma A.208: The three averagesA.208proof : ch:09-probability-statistics@proof-23proofequation 11.88: eq:prob-q011.88proposition 11.93: Z=\sqrtq11.93proof : ch:15-exp-higgs-discovery@proof-9proofproof : ch:09-probability-statistics@proof-31prooflemma 11.63: Cauchy–Schwarz for random variables11.63corollary 11.65: When the bound is attained11.65proof : ch:09-probability-statistics@proof-25proof

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typedirectionnode provenancewhere
depends_on Statistical model declared parts/02-mathematical-methods/09-probability-statistics.tex:1714
depends_on Regularity conditions declared parts/02-mathematical-methods/09-probability-statistics.tex:1691
depends_on Score identities declared parts/02-mathematical-methods/09-probability-statistics.tex:1725
depends_on Why categorizing helps, and by how much declared parts/11-qft-standard-model/15-exp-higgs-discovery.tex:1363
depends_on Nuisance parameters cost information declared parts/02-mathematical-methods/09-probability-statistics.tex:2253
depends_on Cramér–Rao inequality declared parts/02-mathematical-methods/09-probability-statistics.tex:1849