Small area models handling area level data typically assume normality of random effects. This assumption does not always work. The present paper introduces a new small area model with t random effects. Along with this, this paper also considers joint modeling of small area means and variances. The present approach is shown to perform better than other methods.
更多
查看译文
关键词
Random effects model,Student's t-distribution,Non-subjective priors,MCMC,Gibbs sampling,Metropolis-Hastings algorithm