Sufficient conditions for the asymptotic efficiency of estimates
Commentationes Mathematicae Universitatis Carolinae (1979)
- Volume: 020, Issue: 3, page 501-506
- ISSN: 0010-2628
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topVorlíčková, Dana. "Sufficient conditions for the asymptotic efficiency of estimates." Commentationes Mathematicae Universitatis Carolinae 020.3 (1979): 501-506. <http://eudml.org/doc/16988>.
@article{Vorlíčková1979,
author = {Vorlíčková, Dana},
journal = {Commentationes Mathematicae Universitatis Carolinae},
keywords = {regular density; asymptotic efficiency; Fisher information; maximum- likelihood estimate},
language = {eng},
number = {3},
pages = {501-506},
publisher = {Charles University in Prague, Faculty of Mathematics and Physics},
title = {Sufficient conditions for the asymptotic efficiency of estimates},
url = {http://eudml.org/doc/16988},
volume = {020},
year = {1979},
}
TY - JOUR
AU - Vorlíčková, Dana
TI - Sufficient conditions for the asymptotic efficiency of estimates
JO - Commentationes Mathematicae Universitatis Carolinae
PY - 1979
PB - Charles University in Prague, Faculty of Mathematics and Physics
VL - 020
IS - 3
SP - 501
EP - 506
LA - eng
KW - regular density; asymptotic efficiency; Fisher information; maximum- likelihood estimate
UR - http://eudml.org/doc/16988
ER -
References
top- LeCAM L., On the assumptions used to prove asymptotic normality of maximum likelihood estimates, Ann. Math. Statist. 41 (1970), 802-828. (1970) MR0267676
- HÁJEK J., Local asymptotic minimax and admissibility in estimation, Proc. of the Sixth Berkeley Symp. on Math. Stat. and Prob., Univ. of California Press, 1972. (1972) MR0400513
- HÁJEK J., VORLÍČKOVÁ D., Matematická statistika, (skriptum), SPN 1977. (1977)
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