klaR Analyzing German Business Cycles

TL;DR: The vocal repertoire of high-frequency calls in two species of North American flying squirrels is described, showing overlap in the repertoire of both species, although variation between species is evident in certain call-types.

TL;DR: It is concluded that simple shape features are ineffective for classifying carbonate pore types, and this study will provide a foundation for more robust artificial intelligence‐assisted pore typing.

TL;DR: The overall aim of these studies is to increase understanding of the proximate mechanisms and selective pressures that shape the production and perception of functionally referential alarm calls in the African green monkey, with the broader goal of offering insights into the emergence of vocal flexibility and meaning in language.

TL;DR: This study demonstrates the power of large-scale genomics to assess potential sources of ExPEC strains and highlights the importance of a One Health approach to identify and manage these human pathogens.

TL;DR: A guide to using S environments to perform statistical analyses providing both an introduction to the use of S and a course in modern statistical methods.

TL;DR: Alternatives to the usual maximum likelihood estimates for the covariance matrices are proposed, characterized by two parameters, the values of which are customized to individual situations by jointly minimizing a sample-based estimate of future misclassification risk.

TL;DR: It is found that, somewhat surprisingly, only two variables, ’wage and salary earners’ and ’unit labor costs’, are able to characterize the German business cycle not only the most stable over all subcycles but also with a quite reasonable error rate.