700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ ReadersThis Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
Research Article Open Access
In order to generate discrete distributions based on continuous distributions, various techniques have been implemented and their parameters estimate and characteristics have also been discussed through classical methods. But a few number of essays have dealt with such distribution through Bayesian estimate parameters, mainly due to their complexity and increasing number of parameters. This paper dealt with Bayesian estimate discrete Burr distribution with two parameters. In order to simulate the results, Monte-Carlo and Metropolis-Hastings algorithms were used.
Discrete Burr distribution, Random variable, Bayesian estimate, Numerical methods, Biometrics ,Biostatistics, Behaviometrics, Combinatorics, Deformation, Geometry, Harmonic analysis, Algebra, Homotopical Algebra,Latin square, Lie theory, Lie Triple Systems, Loop Algebra,Representation theory, Symmetric Space, Topology, Quantum Group, Operad theory, Quasigroup