Abstract
Chakraborti and Li (Am Stat 61:331–336, 2007) considered several methods for confidence interval estimation of a normal distribution percentile. In this paper, we comment on two of their methods based on maximum likelihood and Bayesian inference. We show that the use of some approximations and simulations in the two methods is not necessary and some improvements and modifications can be made. Also, we compare the modified methods with methods in Chakraborti and Li (2007).
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