POSTERIOR DISTRIBUTION OF BETA-BINOMIAL MIXTURE BASED ON BETA II AS PRIOR DISTRIBUTION

Ottieno, Joseph; Okuto, Erick; Otwande, Andrea

dc.contributor.author	Ottieno, Joseph
dc.contributor.author	Okuto, Erick
dc.contributor.author	Otwande, Andrea
dc.date.accessioned	2020-02-04T12:47:30Z
dc.date.available	2020-02-04T12:47:30Z
dc.date.issued	2017-12
dc.identifier.issn	2349-5375
dc.identifier.uri	http://localhost:8282/xmlui/handle/123456789/264
dc.description	Research Paper	en_US
dc.description.abstract	Posterior distribution in Bayesian statistical inference provides a summary of knowledge about the ϴ parameter from a given sample data. Posterior distribution is a product of the likelihood times prior. Beta distribution is considered to be a suitable conjugate prior of binomial distribution. Beta I distribution is widely applied as prior but not Beta II distribution. This paper therefore derives posterior distribution using Beta II as prior distribution in Bayesian inference. The distribution properties such as jth moment, mean and variance are verified and the results obtained discussed	en_US
dc.description.sponsorship	Author	en_US
dc.language.iso	en	en_US
dc.publisher	Researchjournali’s Journal of Mathematics	en_US
dc.subject	Bayesian inference	en_US
dc.subject	posterior distribution	en_US
dc.subject	prior	en_US
dc.subject	beta-binomial	en_US
dc.subject	Mixtures	en_US
dc.title	POSTERIOR DISTRIBUTION OF BETA-BINOMIAL MIXTURE BASED ON BETA II AS PRIOR DISTRIBUTION	en_US
dc.type	Article	en_US