Conditions are given for the attainment of the Hammersley-Chapman-Robbins bound for the variance of an unbiased estimator, in both regular and nonregular cases. Comparisons are made between this bound and the Bhattacharyya system of bounds for a wide class of distributions and parametric functions. Sufficient conditions are provided to determine when one bound is sharper than the other one.
@article{1176343547,
author = {Sen, P. K. and Ghosh, B. K.},
title = {Comparison of Some Bounds in Estimation Theory},
journal = {Ann. Statist.},
volume = {4},
number = {1},
year = {1976},
pages = { 755-765},
language = {en},
url = {http://dml.mathdoc.fr/item/1176343547}
}
Sen, P. K.; Ghosh, B. K. Comparison of Some Bounds in Estimation Theory. Ann. Statist., Tome 4 (1976) no. 1, pp. 755-765. http://gdmltest.u-ga.fr/item/1176343547/