Results 51 to 60 of about 30,731 (301)
Stochastic orders of log-epsilon-skew-normal distributions
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2022 The log-epsilon-skew-normal distributions family is generalized class of log-normal distribution. Is widely used to model non-negative data in many areas of applied research.
Catana Luigi-Ionut
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Modeling Proportion Data with Inflation by Using a Power-Skew-Normal/Logit Mixture Model
Mathematics, 2021 Rate or proportion data are modeled by using a regression model. The considered regression model can be used for studying phenomena with a response on the (0, 1), [0, 1), (0, 1], or [0, 1] intervals.
Guillermo Martínez-Flórez +2 more
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Multivariate measures of skewness for the skew-normal distribution
Journal of Multivariate Analysis, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
BALAKRISHNAN N, SCARPA, BRUNO
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective High‐resolution MRI enables detailed assessment of intracranial vessel wall pathology in moyamoya vasculopathy. We aimed to classify adult moyamoya vasculopathy etiologies using high‐resolution MRI and to examine subtype‐specific associations between high‐resolution MRI features and ischemic infarction.
Guangsong Han +8 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To assess the association and discriminative performance of serum biomarkers with clinical disease progression and survival in patients with amyotrophic lateral sclerosis (ALS). Methods This retrospective study, conducted at Houston Methodist Hospital, Houston, TX, used longitudinal serum samples collected between January 2018 and ...
David R. Beers +7 more
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Advances in Unsupervised Parameterization of the Seasonal–Diurnal Surface Wind Vector
MeteorologyThe 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
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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
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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 +2 more
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Long‐Term Efficacy of Immunotherapy in Autoimmune Autonomic Ganglionopathy—A 10‐Year Follow Up Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Autoimmune autonomic ganglionopathy (AAG) is a rare but potentially treatable cause of severe autonomic failure. Evidence guiding long‐term immunotherapy, treatment sequencing, and residual autonomic impairment is limited. We evaluated long‐term treatment response, residual autonomic dysfunction, and relapse patterns in patients with
Giacomo Chiaro +6 more
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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 +2 more
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