Fred L. Bookstein

Prof. DDr.

Professor Emeritus

External links

Profile in ResearchGate



 About me

My special interests center on foundations of reasoning from numerical evidence across the natural sciences and the social sciences, with particular care for the disciplines along which they overlap such as anthropology, demography, and evolutionary psychology. My training (Ph.D., 1977, University of Michigan, Statistics and Zoology) concentrated on applied multivariate methods for the human sciences, both biological and behavioral. Among my contributions in this broad area are the Bookstein method of Partial Least Squares, which is a variant of the singular-value decomposition suited to studies in the behavioral sciences, and the Bookstein shape coordinates, which formalize certain problems of biological shape analysis (a highly multivariate domain) in a statistically tractable way.

Among my approximately 360 scientific publications are many on analysis of complex data resources in general and many others on the domains of biological shape analysis and medical image analysis in particular. Several recent publications with the Vienna group cover aspects of human reproductive choice behavior as expressed in census data, including analyses of age differences between mates and the paradoxical effects of education and income between spouses in recent United States census childrearing patterns. Others deal with aspects of craniofacial, craniodental, or limb form in humans, apes, or fossils. Recent publications with the American side deal mainly with fetal alcohol syndrome, a relatively recently discovered birth defect. Other areas of special interest include the role of statistical graphics in the communication of complex multilevel findings and the role of strong statistical inference (pattern analyses going beyond ordinary statistical significance testing) in the analysis of multivariate longitudinal human data. I have recently published my eighth book, "A Course in Morphometrics for Biologists: Geometry and Statistics for Studies of Organismal Form".