On the Prior Selection for Variance of Normal Distribution
by Muhammad Aslam and Abdul Haq.
This study provides a comparison of informative priors for unknown parameter variance of the normal distribution with known parameter mean. We have assumed four possible informative priors: Inverse chi-squared, Inverted Gamma, Levy and Gumbel type-II distributions for the variance of the normal distribution. The objective of study is to select suitable prior for normal variance. The comparison is based upon the posterior variances, coefficients of skewness, also on the basis of posterior predictive variances. Finally a suitable prior for the unknown variance of a normal distribution is recommended.
Density kernel, Informative prior, Posterior distribution, Posterior predictive distribution, Prior distribution
Muhammad Aslam, email@example.com
Abdul Haq, firstname.lastname@example.org
Bhattacharjee, Dibyojyoti, email@example.com firstname.lastname@example.org
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