SEQUENTIAL FIXED-WIDTH CONFIDENCE INTERVAL ESTIMATION FOR THE PERCENTILES OF A NORMAL DISTRIBUTION

Abstract

In this paper we consider sequential fixed-width confidence interval estimation for the percentiles of a normal distribution with unknown mean and variance. We construct two kinds of confidence intervals by using a stopping rule and show their asymptotic consistency. We also try to compare the performance of these confidence intervals by the simulation results.