Predictive inference for a future response using symmetrically trimmed sample from the half-normal model

In this paper, the likelihood function and the posterior density function for the parameters given a symmetric trimmed sample are derived. It is assumed that the sample follows the half-normal model. By making use of the Bayesian framework, the predictive density for a single future response is derived. An informative prior is used to derive the predictive results. A simulated sample and a real life sample are utilized to illustrate the results.