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 ...
Abstract: Extended dispersion entropy-based Lempel–Ziv complexity (EDELZC) can measure the irregularity or chaos of single-channel time series, which is one of the ideal tools for extracting fault ...
Sankhyā: The Indian Journal of Statistics, Series A (2008-), Vol. 83, No. 1 (February 2021), pp. 187-205 (19 pages) The purpose of this study is to characterize multivariate generalized hyperbolic ...
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 ...
ABSTRACT: Using the fact that a multivariate random sample of n observations also generates n nearest neighbour distance (NND) univariate observations and from these NND observations, a set of n ...
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.
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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