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Activity Number: 245 - SLDS CSpeed 4
Type: Contributed
Date/Time: Wednesday, August 11, 2021 : 10:00 AM to 11:50 AM
Sponsor: Section on Statistical Learning and Data Science
Abstract #317708
Title: A Generalization of the Lomax Distribution and Applications to the Cancer Patient Data
Author(s): Sher B Chhetri* and Denzyl Lastimoso and Cory Ball
Companies: University of South Carolina Sumter and University of South Carolina Sumter and Oak Ridge National Lab, TN
Keywords: Transmutation Map; Maximum Likelihood; Lomax Distribution; Parameter Estimation

In this work, we introduce a new four-parameter cubic rank transmuted Lomax (CRTL) distribution using the cubic rank transmuted map proposed by Granzatto et al. (2017)). The expressions for several mathematical properties of the proposed model are derived. The method of maximum likelihood is used to estimate the parameters of the distribution. We present the application of the proposed model using the cancer patient data and compare various statistics to show the versatility and fitting of the model.

Authors who are presenting talks have a * after their name.

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