Some Generalized Regression Models and Bayesian Based Feature Extractions for Several Mixture Probabilistic Models

• Activity Number: 113 - Statistical Computing in Modern Statistics
• Type: Contributed
• Date/Time: Monday, August 8, 2022 : 8:30 AM to 10:20 AM
• Sponsor: Section on Statistical Computing
• Author(s): M Shamsuddin* and Mian Arif Shams Adnan
• Companies: Dhaka and Bowling Green State University
• Keywords: Mixture Models

Abstract

Adnan et al (2021, 2020, 2015, 2013, 2012, 2011, 2010, 2009) developed many mixture distributions like Power function, Two Folded Mixture, Four Folded Mixture, Folded Gamma, Triple mixture, Laplace mixture, Pareto mixture, F mixture, Dual mixture, Beta mixture, Weibull mixture, etc. Theoretical features have been checked whether are close to those computed from Bayesian Analyses. Generalized linear models for all of these mixture distributions have been found. R programming has been used to demonstrate several properties of these mixture models.