Many different theoretical models can be made to fit model implies that the shape of the distribution of producempirical informetric data. For the case of the distribution across a population arises from the distribution of tion of papers across authors, the Success-Breeds-Sucproduction within each individual's career. It is this applicess or Cumulative Advantage model is a popular candication which will be investigated in this article. In the date. This article shows that examination of the time general case, the Simon-Yule framework is expressed as pattern of production allows independent evaluation of the component processes that generate the distribution sources which produce items. For clarity, we will express of papers across authors. Specifically for inventors, the it as authors who produce publications in keeping with Cumulative Advantage model for increasing rate of prothe application chosen here. duction with experience is not confirmed. Furthermore, clearly described the two the distribution of individual production is Poisson and the distribution of the rate of production across the pop-component processes that must be present to generate data ulation fits the Gamma distribution. Thus, the non-unithat fits the distribution of publications across authors. form giftedness model is more appropriate for inventors. Readers who are unfamiliar with the typical distribution of publications across authors may wish to examine Figure 1. One of the component processes is the time pattern