Results 31 to 40 of about 23,045 (305)

The Skew Normal multivariate risk measurement framework [PDF]

open access: yesComputational Management Science, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mauro Bernardi   +2 more
openaire   +3 more sources

PREDICTING THE DEPOSITIONAL ENVIRONMENTS AND TRANSPORTATION MECHANISMS OF SEDIMENTS USING GRANULOMETRIC PARAMETERS, BIVARIATE AND MULTIVARIATE ANALYSES

open access: yesGeoScience Engineering, 2019
Grain size distribution and classes present in sedimentary rocks are responsive to the physical changes of the transporting media and the basin of deposition.
P. R. IKHANE, O.V. OLADIPO, O.O. OYEBOLU
doaj   +1 more source

Cumulants of Multivariate Symmetric and Skew Symmetric Distributions [PDF]

open access: yesSymmetry, 2021
This paper provides a systematic and comprehensive treatment for obtaining general expressions of any order, for the moments and cumulants of spherically and elliptically symmetric multivariate distributions; results for the case of multivariate t-distribution and related skew-t distribution are discussed in some detail.
Sreenivasa Rao Jammalamadaka   +2 more
openaire   +3 more sources

covsim: An R Package for Simulating Non-Normal Data for Structural Equation Models Using Copulas

open access: yesJournal of Statistical Software, 2022
In factor analysis and structural equation modeling non-normal data simulation is traditionally performed by specifying univariate skewness and kurtosis together with the target covariance matrix.
Steffen Grønneberg   +2 more
doaj   +1 more source

Skewness for multivariate distributions: two approaches

open access: yesThe Annals of Statistics, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Avérous, Jean, Meste, Michel
openaire   +3 more sources

Quantifying the impact of addressing data challenges in prediction of length of stay

open access: yesBMC Medical Informatics and Decision Making, 2021
Background Prediction of length of stay (LOS) at admission time can provide physicians and nurses insight into the illness severity of patients and aid them in avoiding adverse events and clinical deterioration.
Amin Naemi   +4 more
doaj   +1 more source

A Neural Network Based on the Johnson SU Translation System and Related Application to Electromyogram Classification

open access: yesIEEE Access, 2021
Electromyogram (EMG) classification is a key technique in EMG-based control systems. Existing EMG classification methods, which do not consider EMG features that have distribution with skewness and kurtosis, have limitations such as the requirement to ...
Hideaki Hayashi   +2 more
doaj   +1 more source

A method to simulate multivariate outliers with known mahalanobis distances for normal and non-normal data

open access: yesMethods in Psychology
Monte Carlo simulations and theoretical analyses have repeatedly demonstrated the impact of outliers on statistical analysis. Most simulation studies generate outliers using one of two general approaches: by multiplying an arbitrary point by a constant ...
Oscar L. Olvera Astivia
doaj   +1 more source

Assessment of survival in patients with idiopathic pulmonary fibrosis using quantitative HRCT indexes

open access: yesMultidisciplinary Respiratory Medicine, 2018
Background The assessment of Idiopathic Pulmonary Fibrosis (IPF) using HRCT requires great experience and is limited by a significant inter-observer variability, even between trained radiologists.
Sebastiano Emanuele Torrisi   +14 more
doaj   +1 more source

Multivariate geometric skew-normal distribution [PDF]

open access: yesStatistics, 2017
Azzalini (1985) introduced a skew-normal distribution of which normal distribution is a special case. Recently Kundu (2014) introduced a geometric skew-normal distribution and showed that it has certain advantages over Azzalini's skew-normal distribution. In this paper we discuss about the multivariate geometric skew-normal distribution. It can be used
openaire   +2 more sources

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