Exact results for the bias and variance of estimators of the normalized moments of gamma-distributed random variables, based on N independent samples, are derived. Some of the implications of these results for the analysis of K and gamma-distributed data are discussed; an illustrative example of such an analysis is included. These results extend and, in the large-N limit, reduce to the earlier perturbation calculations of Jakeman (1974) and Oliver (1986).