Results 51 to 60 of about 30,092 (257)

EMMIXcskew: An R Package for the Fitting of a Mixture of Canonical Fundamental Skew t-Distributions

Journal of Statistical Software, 2018
This paper presents the R package EMMIXcskew for the fitting of the canonical fundamental skew t-distribution (CFUST) and finite mixtures of CFUST distributions (FMCFUST) via maximum likelihood (ML).
Sharon X. Lee, Geoffrey J. McLachlan
doaj   +1 more source

MOGAD Is the Most Common Cause of Isolated Optic Neuritis in Children

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives The study aimed to characterize the clinical features, etiologies, and outcomes of isolated, first‐time pediatric ON in the post‐MOG‐IgG era. Methods This was a single‐center retrospective cohort study at Texas Children's Hospital of patients diagnosed with first‐time ON between 2018–2024, with follow‐up data collected through 2025.
Chaitanya Aduru, Akansha Chandrasekar, Kyla Blasingame, Jonathan Rosen, Jesse M. Levine, Karla Salazar, Madhuri Chilakapati, Rod Foroozan, Victoria Hardwick, Jonathan M. Yarimi, Nikita Shukla, Timothy E. Lotze, Kristen S. Fisher, Alexander J. Sandweiss   +13 more
wiley   +1 more source

Advances in Unsupervised Parameterization of the Seasonal–Diurnal Surface Wind Vector

Meteorology
The Offset Elliptical Normal (OEN) mixture model represents the seasonal–diurnal surface wind vector for wind engineering design applications. This study upgrades the parameterization of OEN by accounting for changes in format of the global database of ...
Nicholas J. Cook
doaj   +1 more source

SKEW NORMAL AND SKEW STUDENT-T DISTRIBUTIONS ON GARCH(1,1) MODEL

Media Statistika, 2021
The Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) type models have become important tools in financial application since their ability to estimate the volatility of financial time series data.
Didit Budi Nugroho, Agus Priyono, Bambang Susanto   +2 more
doaj   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

Some Information Properties of Order Statistics of Skew-normal Distribution

Revstat Statistical Journal
The skew-normal distribution and some of its extensions have been considered in the last two decades in view of distribution theory and the associated properties. However, less attention has been paid to other aspects of this family of distributions. In
Parisa Hasanalipour, Mostafa Razmkhah, Gholamreza Mohtashami Borzadaran   +2 more
doaj   +1 more source

The standard error of the Pearson skew [PDF]

Tutorials in Quantitative Methods for Psychology, 2015
The Pearson skew is a measure of asymmetry of a distribution, based on the difference between the mean and the median of a distribution. Here we show how to calculate the Pearson skew, estimate its standard error and the confidence interval.
Bradley Harding, Christophe Tremblay, Denis Cousineau   +2 more
doaj  

On the non‐identifiability of unified skew‐normal distributions

Stat, 2023
We investigate the non‐identifiability of the multivariate unified skew‐normal distribution under permutation of its latent variables. We show that the non‐identifiability issue also holds with other parameterizations and extends to the family of unified skew‐elliptical distributions and more generally to selection distributions.
Kesen Wang, Reinaldo B. Arellano‐Valle, Adelchi Azzalini, Marc G. Genton   +3 more
openaire   +3 more sources

Gravity‐Dependent Modulation of Downbeat Nystagmus: Insights From Velocity‐Storage Dysfunction

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Downbeat nystagmus varies with head position, a phenomenon termed gravity‐dependent modulation. We aimed to clarify its mechanism using a velocity‐storage model. Methods In 10 patients with downbeat nystagmus due to cerebellar disorders, we recorded eye movements at different pitch‐ and roll‐axis head positions.
Ji‐Hyung Park, Eun‐Hyuk Choi, Jorge Otero‐Millan, David S. Zee, Jeong‐Yoon Choi, Ji‐Soo Kim   +5 more
wiley   +1 more source

Generalized Skew-Normal Negentropy and Its Application to Fish Condition Factor Time Series

Entropy, 2017
The problem of measuring the disparity of a particular probability density function from a normal one has been addressed in several recent studies. The most used technique to deal with the problem has been exact expressions using information measures ...
Reinaldo B. Arellano-Valle, Javier E. Contreras-Reyes, Milan Stehlík   +2 more
doaj   +1 more source