TY - JOUR AU - Rekha AU - Vikas Kumar PY - 2020/12/08 Y2 - 2024/03/28 TI - Study of Quantile-Based Cumulative Renyi Information Measure JF - Statistics, Optimization & Information Computing JA - Stat., optim. inf. comput. VL - 9 IS - 4 SE - Research Articles DO - 10.19139/soic-2310-5070-1034 UR - http://www.iapress.org/index.php/soic/article/view/1034 AB - In this paper, we proposed a quantile version of cumulative Renyi entropy for residual and past lifetimes and study their properties. We also study quantile-based cumulative Renyi entropy for extreme order statistic when random variable untruncated or truncated in nature. Some characterization results are studied using the relationship between proposed information measure and reliability measure. We also examine it in relation to some applied problems such as weighted and equillibrium models. ER -