2025

Martin Ricker

Instituto de Biología Universidad Nacional Autónoma de México (UNAM)

Areas: Applied Statistics, Forest Science

Martin Ricker studied biology at the University of Würzburg in Germany, followed by his doctoral research at Yale University’s School of Forestry and Environmental Science. Since 1995, he has worked as a research fellow at the Institute of Biology of the National Autonomous University of Mexico in Mexico City to develop methods and knowledge for management and conservation of species-rich tropical forests. He has been an enthusiastic user of Mathematica since 1991, when he purchased for the first time the software for his doctoral studies, using it for analyses of databases, generation of graphs, regression and statistical analyses, as well as explorations with calculus. Over the years, a number of Mathematica notebooks have been published together with scientific articles about topics as varied as solving linear regression without skewness of the residuals’ distribution, statistical age determination of tree rings and a generalization of the exponential function to model growth. Currently, he is working with Mathematica on articles about generalized multivariate analysis of variance (GMANOVA), the numerical calculation of the inverse of the exponential integral Ei(x), and modeling tree growth curves indirectly with piecewise linear regression when tree ages are unknown.