The new reflected power function distribution: Theory, simulation & application

• Main Authors: Azam Zaka, Ahmad Saeed Akhter, Riffat Jabeen
• Format: Article
• Language: English
• Published: AIMS Press 2020-07-01
• Series: AIMS Mathematics
• Subjects: characterization of truncated distribution; percentile estimator; power function distribution; reflected power function distribution
• Online Access: https://www.aimspress.com/article/10.3934/math.2020323/fulltext.html

The aim of the paper is to propose a new Reflected Power function distribution (RPFD). We provide the various properties of the new model in detail such as moments, vitality function and order statistics. We characterize the RPFD based on conditional moments (Right and Left Truncated mean) and doubly truncated mean. We also study the shape of the new distribution to be applicable in many real life situations. We estimate the parameters for the proposed RPFD by using different methods such as maximum likelihood method, modified maximum likelihood method, percentile estimator and modified percentile estimator. The aim of the study is to increase the application of the Power function distribution (PFD). Using two different data sets from real life, we conclude that the RPFD perform better as compare to different competitor models already exist in the literature. We hope that the findings of this paper will be useful for researchers in different field of applied sciences.