Minimax Estimation Under Convex Loss when the Parameter Interval is Bounded.

@article{Fieger0,
author = {Fieger, W., Eichenauer-Herrmann, J.},
journal = {Metrika},
keywords = {uniform distribution; least favourable two point prior; families of truncated distributions; Lebesgue density; unknown truncation parameter; bounded parameter interval; convex loss function; Bayes estimator; saddle point},
number = {1},
pages = {27-43},
title = {Minimax Estimation Under Convex Loss when the Parameter Interval is Bounded.},
url = {http://eudml.org/doc/176381},
volume = {39},
year = {0},
}

TY - JOUR
AU - Fieger, W.
AU - Eichenauer-Herrmann, J.
TI - Minimax Estimation Under Convex Loss when the Parameter Interval is Bounded.
JO - Metrika
PY - 0
VL - 39
IS - 1
SP - 27
EP - 43
KW - uniform distribution; least favourable two point prior; families of truncated distributions; Lebesgue density; unknown truncation parameter; bounded parameter interval; convex loss function; Bayes estimator; saddle point
UR - http://eudml.org/doc/176381
ER -