XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Prakasarao B. Improved Cramer-Rao Inequality for Randomly Censored Data. JIRSS. 2018; 17 (2)
URL: http://jirss.irstat.ir/article-1-472-en.html
Abstract:   (514 Views)
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.
Type of Study: Original Paper | Subject: 62Fxx: Parametric inference
Received: 2017/10/5 | Accepted: 2018/02/5 | Published: 2018/02/5

Add your comments about this article : Your username or Email:
Write the security code in the box

Send email to the article author

© 2015 All Rights Reserved | Journal of The Iranian Statistical Society