Analysis of serial growth data

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Abstract
Human growth has been described qualitatively by several different mathematical formulations that have concentrated on the form of the central tendency and have largely neglected analysis of any short duration components of the experimental observations. The present work presents a mathematical model of human growth that aims to describe both the fluctuations of short duration as well as the central tendency as a series of discrete growth episodes. This Saltatory Model of growth provides a better quantitative description of human growth than the more traditional models and suggests that human growth is not a smooth continuous process, but is a series of intermittent, nonperiodic saltations.