Document Type



The collection of serial human growth data has a long history, but until 1937, analyses of such data were limited to the visual interpretation of graphs that included means, percentiles or increments. The applica­tion of mathematical models began in 1937 but, with few exceptions, these were fitted to mean values only until the 1950s. Two approaches are in current use; one is to fit a fixed mathematical model to serial data for individuals and base subsequent analyses on the estimated parameters for individuals. The other approach is to use a non-parametric procedure that can provide estimates of values at critical points on the curves. The in­creases in knowledge that have resulted from the application of these ap­proaches have been reviewed and productive areas for future research have been suggested.