In this study, the estimation of variance in repeated samples of size one from different populations ordered in time, when the population means are potentially changing, has been explored. Five models covering a variety of circumstances were considered. Method of moments, maximum likelihood and Bayesian techniques were used to derive estimators. Some estimators robust to unknown changes in population means were identified.