TY - JOUR
JF - JIRSS
JO - JIRSS
VL - 17
IS - 2
PY - 2018
Y1 - 2018/12/01
TI - Improved Cramer-Rao Inequality for Randomly Censored Data
TT -
N2 - As an application of the improved Cauchy-Schwartz inequality due to Walker (Statist. Probab. Lett. (2017) 122:86-90), we obtain an improved version of the Cramer-Rao inequality for randomly censored data derived by Abdushukurov and Kim (J. Soviet. Math. (1987) pp. 2171-2185). We derive a lower bound of Bhattacharya type for the mean square error of a parametric function based on randomly censored data.
SP - 1
EP - 12
AU - Prakasa Rao, B.L.S.
AD - CR RAO AIMSCS, HYDERABAD, INDIA
KW - Cauchy-Schwartz inequality
KW - Cramer-Rao inequality
KW - Randomly censored data
KW - Walker's inequality
UR - http://jirss.irstat.ir/article-1-472-en.html
DO - 10.29252/jirss.17.2.2
ER -