I am looking for a book (or serious notes) that contains a chapter on maximum likelihood estimation with all proofs on consistency, functional invariance, efficiency, second-order efficiency after correction for bias... preferably from a measure theoretic point of view. Any recommendation ?
2026-03-30 16:30:26.1774888226
Book recommendation on maximum likelihood estimation with proofs in general settings
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