Bayesian analysis of three parameter singular Marshall-Olkin bivariate Pareto distribution

09/18/2017
by   Biplab Paul, et al.
0

This paper provides bayesian analysis of singular Marshall-Olkin bivariate Pareto distribution. We consider three parameter singular Marshall-Olkin bivariate Pareto distribution. We consider two types of prior - reference prior and gamma prior. Bayes estimate of the parameters are calculated based on slice cum gibbs sampler and Lindley approximation. Credible interval is also provided for all methods and all prior distributions. A data analysis is kept for illustrative purpose.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
09/17/2018

Bayesian analysis of absolute continuous Marshall-Olkin bivariate Pareto distribution with location and scale parameters

This paper provides two different novel approaches of slice sampling to ...
research
11/22/2019

Calibration of the Pareto and related distributions -a reference-intrinsic approach

We study two Bayesian (Reference Intrinsic and Jeffreys prior) and two f...
research
07/13/2019

Fisher-Rao Geometry and Jeffreys Prior for Pareto Distribution

In this paper, we investigate the Fisher-Rao geometry of the two-paramet...
research
11/05/2019

Neural Network Based Parameter Estimation Method for the Pareto/NBD Model

Whether stochastic or parametric, the Pareto/NBD model can only be utili...
research
09/17/2018

Parameter Estimation of absolute continuous four parameter Geometric Marshall-Olkin bivariate Pareto Distribution

In this paper we formulate a four parameter absolute continuous Geometri...
research
03/26/2015

Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms

In the a posteriori approach of multiobjective optimization the Pareto f...
research
01/28/2021

Seroprevalence of SARS-CoV-2 antibodies in South Korea

In 2020, Korea Disease Control and Prevention Agency reported three roun...

Please sign up or login with your details

Forgot password? Click here to reset