1. Department of Mathematics and Statistics , University of Guelph , Guelph, Ontario, N1G 2W1, Canada;2. Department of Economics and Statistics , National University of Singapore , 10 Kent Ridge Crescent, 0511, Singapore
Abstract:
Shortest prediction intervals for a future observation from the Birnbaum-Saunders distribution are obtained from both frequentist and Bayesian perspectives. Comparisons are made with alternative intervals obtained via inversion. Monte Carlo simulations are performed to assess the approximate intervals.