Background We investigated the prevalence, temporal trends and associated factors of overweight and obesity among adults in ...
A special case of multivariate count data. The general case is often handled with copulas in the literature. The computationally difficult part is that most or almost all methods require numerical ...
ABSTRACT: In a previous article, an R script was developed and divided into three parts to implement the multivariate normality (MVN) Q-test based on both the chi-square approximation and the ...
Introduction: Accurately predicting the remaining mechanical equipment is of great significance for ensuring the safe operation of the equipment and improving economic efficiency. Methods: To ...
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 ...
A novel Bayesian modeling framework for response accuracy (RA), response times (RTs) and other process data is proposed. In a Bayesian covariance structure modeling approach, nested and crossed ...
Abstract: In statistics, the concept of a concomitant, also called the induced order statistic, arises when one sorts the members of a random sample according to corresponding values of another random ...
excerpt: "Given a covariance matrix and a mean vector, how do we generate random vectors from the corresponding Gaussian model?" You may have used `mvnrnd` in Matlab or `multivariate_normal` in NumPy.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results