TY - JOUR AU - Dreamlee Sharma AU - Tapan Kumar Chakrabarty PY - 2016/08/30 Y2 - 2024/03/29 TI - On Size Biased Kumaraswamy Distribution JF - Statistics, Optimization & Information Computing JA - Stat., optim. inf. comput. VL - 4 IS - 3 SE - Research Articles DO - 10.19139/soic.v4i3.217 UR - http://iapress.org/index.php/soic/article/view/20160905 AB - In this paper, we introduce and study the size-biased form of Kumaraswamy distribution. The Kumaraswamy distribution which has drawn considerable attention in hydrology and related areas was proposed by Kumarswamy. The new distribution is derived under sizebiased probability of sampling taking the weights as the variate values. Various distributional and characterizing properties of the model are studied. The methods of maximum likelihood and matching quantiles estimation are employed to estimate the parameters of the proposed model. Finally, we apply the proposed model to simulated and real data sets. ER -