School of Psychology, Universidad Autónoma de Nuevo León, Monterrey, Mexico. The R script consists of two sections, each included in a different appendix, and is available as a Word file ...
bRoslin Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK cDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine ...
Abstract: Low-rank multivariate regression (LRMR) is an important statistical learning model that combines highly correlated tasks as a multiresponse regression problem with low-rank priori on the ...
The joint probability of two or more variables being “extreme” is relevant in Flood and Coastal Risk Management (FCRM) in various contexts, including: Assessing the likelihood of extreme peak flow ...
Abstract: Many computational models used in structural design produce multivariate outputs. This paper aims at quantifying how the subranges of model input variables affect the uncertainty of ...
I read this really interesting paper over the break, where they had multiple analyst teams analyze the same data set and fit a model to answer the same question. This is a topic we’ve thought about a ...
Multivariate analysis of variance (MANOVA) is a widely used technique for simultaneously comparing means for multiple dependent variables across two or more groups. MANOVA rests on several assumptions ...
ABSTRACT: This in virtue of the notion of likelihood ratio and the tool of moment generating function, the limit properties of the sequences of random discrete random variables are studied, and a ...
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