On weighted measure of inaccuracy for doubly truncated random variables

2015/05/26 by Chanchal Kundu, Kundu, Chanchal · 1 citation
Decision Sciences · Mathematics · #62E10 #FOS: Mathematics #Fuzzy Systems and Optimization #Primary 94A17 #Probabilistic and Robust Engineering Design #Secondary 62N05 #Statistical Distribution Estimation and Applications #Statistics Theory (math.ST)

paper · pdf · doi:10.48550/arxiv.1505.06925

openalex publication_date 2015/05/26 · openalex created_date 2019/06/27 · openalex updated_date 2026/07/28

Abstract

Recently, authors have studied weighted version of Kerridge inaccuracy measure for truncated distributions. In the present communication we introduce the notion of weighted interval inaccuracy measure for two-sided truncated random variables. In reliability theory and survival analysis, this measure may help to study the various characteristics of a system/component when it fails between two time points. Various aspects of weighted interval inaccuracy measure have been discussed and some characterization results have been provided. This new measure is a generalization of recent dynamic weighted inaccuracy measure.

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• On the Study of Weighted Fractional Cumulative Residual Inaccuracy and its Dynamical Version with Applications

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