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Information Journal Paper

Title

Improved Cramer-Rao Inequality for Randomly Censored Data

Pages

  1-12

Abstract

 As an application of the improved Cauchy-Schwartz inequality due toWalker (2017), we obtain an improved version of the Cramer-Rao inequality for Randomly censored data derived by Abdushukurov and Kim (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.

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    APA: Copy

    PRAKASA RAO, B.L.S.. (2018). Improved Cramer-Rao Inequality for Randomly Censored Data. JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS), 17(2), 1-12. SID. https://sid.ir/paper/749145/en

    Vancouver: Copy

    PRAKASA RAO B.L.S.. Improved Cramer-Rao Inequality for Randomly Censored Data. JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS)[Internet]. 2018;17(2):1-12. Available from: https://sid.ir/paper/749145/en

    IEEE: Copy

    B.L.S. PRAKASA RAO, “Improved Cramer-Rao Inequality for Randomly Censored Data,” JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS), vol. 17, no. 2, pp. 1–12, 2018, [Online]. Available: https://sid.ir/paper/749145/en

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