This is a companion to the paper "More efficient inferences using ranking information obtained from judgment sampling" by Glen Meeden and Bo Ra Lee that appeared in the Journal of Survey Statistics and Methodology in 2014.
Given a sample the following R code
computes their point estimate of the population mean and finds its posterior variance.
This document is supplementary material for a paper. It shows how to simulate the linear-equality-and-inequality-constrained normal distribution that is the large sample approximation to a similarly constrained Dirichlet posterior.
