proof ch:09-probability-statistics@proof-29

open in the book · parts/02-mathematical-methods/09-probability-statistics.tex:2088

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proof : ch:09-probability-statistics@proof-29prooftheorem 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-27proof

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cites Probability and Measure derived parts/02-mathematical-methods/09-probability-statistics.tex:2120
proves Asymptotics of the MLE declared parts/02-mathematical-methods/09-probability-statistics.tex:2088