Discover how Monte Carlo analysis helps investors assess risk and make informed decisions. Explore its role in generating probability distributions and risk evaluations.
Bootstrap Implementation of Mardia’s K² Test and Performance Comparison with Royston’s H Test ()
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 ...
Halva—‘grapHical Analysis with Latent VAriables’—is a Python package dedicated to statistical analysis of multivariate ordinal data, designed specifically to handle missing values and latent variables ...
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 ...
Accurately predicting the remaining mechanical equipment is of great significance for ensuring the safe operation of the equipment and improving economic efficiency. To accurately assess the ...
Abstract: Missing values means the absence of data items for an observation that can result in the loss of certain information. During surveys, there are often missing values or missing data because ...
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 ...
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