Inferences on the within-subject coefficient of variation

The within-subject coefficient of variation (WCV) is widely used as a measure of precision and reproducibility of data in medical and biological science. In this paper, generalized confidence intervals and tests for a single WCV is developed using the concept of generalized pivots under the assumption of one-way random effect model. This approach is further extended to two-sample cases. The resulting procedures are easy to compute and have good properties in term of coverage probabilities and type-I error control at small sample sizes. The proposed methods are illustrated by a real life example.