Maximum Spacing Estimates: A Generalization and Improvement on Maximum Likelihood Estimates I

作者: Yongzhao Shao , Marjorie G. Hahn

DOI: 10.1007/978-1-4612-0253-0_28

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摘要: Hoffmann-Jorgensen (1992) presents a fairly general framework for considering consistency and asymptotic normality of “M-estimates.” The most celebrated such estimate is the famous maximum likelihood (MLE), about which there has been considerable controversy due to fact that it may not even be consistent [see Le Cam (1990)]. Hoffmann-Jorgensen’s theory tries unify discussion inconsistency, but does extend domain MLE’s consistency. current paper was motivated by first trying understand why MLE inconsistent then alternatives might rectify inconsistency.

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