In this paper we consider the lognormal, gamma, beta, and Singh-Maddala functions as descriptive models for the distribution of family income for 1960 and 1969 through 1975. Least squares and two efficient estimation techniques are used to estimate the unknown parameters. Alternative functional forms for comparable estimation techniques can then be contrasted and estimation techniques for a given functional form can be compared. We note that estimates of population characteristics depend upon the functional form and estimation technique selected.