One-sided tolerance limits for unbalanced one-way anova andomc effects model

Abstract

In this article, we investigate techniques for constructing tolerance limits such that the probability is γ that at least p proportion of the population would exceed that limit. We consider the unbalanced case and study the behavior of the limit as a function of ni 's (where ni is the number of observations in the ith batch), as well as that of the variance ratio. To construct the tolerance limits we use the approximation given in Thomas and Hultquist (1978). We also discuss the procedure for constructing the tolerance limits when the variance ratio is unknown. An example is given to illustrate the results.