References
- Lecture Notes in Statistics v.7 Asymptotic Efficiency of Statistical Estimators: Concepts and Higher Order Asymptotic Efficiency M.Akahira;K.Takeuchi
- Statistical Decision Theory and Related Topics Ⅳ The differential inequality of a statistical estimation problem L.D.Brown;S.S.Gupta(ed.);J.O.Berger(ed.)
- Theory of Probability and Its Applications v.18 An asymptotic expansion for a class of estimators containing maximum likelihood estimators D.M.Chibisov
- Annals of Statistics v.9 A necessary and sufficient condition for second order admissibility with applications to Berkson's bioassay problem J.K.Ghosh;B.K.Sinha
- Theory of Probability and Its Applications v.35 Asymptotic estimation of variance S.Joshi;A.L.Rukhin
- Theory of Point Estimation E.L.Lehmann
- Theory of Probability and Its Applications v.27 Minimax estimation and positive solutions of elliptic equations B.Levit
- Journal of Multivariate Analysis v.8 A third-order optimum property of the maximum likelihood estimator J.Pfanzagl;W.Wefelmeyer
-
Communication in Statistics, Part A-Theory and Methods
v.16
On the admissibility of c
$\={x}$ +d with respect to the linex loss function J.Rojo -
Communication in Statistics, Part A-Theory and Methods
v.18
A note on the admissibility of c
$\={x}$ +d relative to the linex loss function S.M.Sadooghi-Alvendi;R.Rematollahi - Approximation Theorems of Mathematical Statistics R.J.Serfling
- Annals of Mathematical Statistics v.26 A necessary conditions for admissibility C.Stein
- Annals of Mathematical Statistics v.30 The admissibility of Pitman's estimator of a single location parameter C.Stein
- Annals of Mathematical Statistics v.41 Sufficient conditions for the admissibility under squared error loss of formal Bayes estimators J.V.Zidek