Estimation of Weighted Residual Inaccuracy Measure for Right Censored Dependent Data

被引：1

作者：

Viswakala, K. V. ^{[1
]}

Sathar, E. I. Abdul ^{[1
]}

机构：

[1] Univ Kerala, Dept Stat, Thiruvananthapuram, Kerala, India

来源：

JOURNAL OF THE INDIAN SOCIETY FOR PROBABILITY AND STATISTICS | 2021年 / 22卷 / 02期

关键词：

Inaccuracy measure; Weighted distributions; Information measures; Right-censored data; Kernel density estimator;

D O I：

10.1007/s41096-021-00107-0

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Recently inaccuracy measure has been widely used as a useful tool for measuring error in experimental results. The present paper we proposes nonparametric estimators for the weighted inaccuracy measure based on right-censored dependent data. The asymptotic properties of the proposed estimators are discussed. We illustrated the performance of the estimator using simulated and a real-life data set.

引用

页码：343 / 356

页数：14

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