AU - Prakasarao, BLS
TI - Improved Cramer-Rao Inequality for Randomly Censored Data
PT - JOURNAL ARTICLE
TA - JIRSS
JN - JIRSS
VO - 18
VI - 1
IP - 1
4099 - http://jirss.irstat.ir/article-1-472-en.html
4100 - http://jirss.irstat.ir/article-1-472-en.pdf
SO - JIRSS 1
ABĀ - 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.
CP - IRAN
IN - Hyderabad
LG - eng
PB - JIRSS
PG - 0
PT - Original Paper
YR - 2017