Results 81 to 90 of about 14,405,507 (294)
StatsWe propose a robust linear regression model assuming a log-skew-t distribution for the response variable, with the aim of exploring the association between the covariates and the quantiles of a continuous and positive response variable under skewness and
Raúl Alejandro Morán-Vásquez +2 more
doaj +1 more source
, 2021 In this paper, a change constrained optimization programming problem is studied under the assumption that the model coe¢ cients in the inequalities defned as random variables are independent and assumed to be Normal, t; Non Normal Skew distributions ...
İnan, Gültaç Eroğlu
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Systemic Extracerebral Atherosclerotic Burden and Dementia Risk After Incident Stroke
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Stroke survivors are at increased risk of dementia, but clinically accessible markers of risk heterogeneity remain limited. Previous studies have largely examined atherosclerotic disease in individual vascular beds rather than the overall burden of systemic extracerebral atherosclerosis.
Zhexuan Yu +4 more
wiley +1 more source
Log-Skew-Normal and Log-Skew-t Distributions as Models for Family Income Data
, 2002 The U.S. family income data for the years 1970, 1975, 1978, 1980, 1985 and 1990 was fitted using the log-normal, Gamma, Singh-Maddala, Dagum type I and generalized Beta of second kind distributions, among others in earlier publications.
Azzalini, Adelchi +2 more
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Arthritis Care &Research, EarlyView.Objective We aimed to construct and evaluate the first laboratory‐based frailty index (FI‐Lab) for predicting adverse outcomes in systemic lupus erythematosus (SLE) and to compare its predictive ability to that of an existing clinical FI. Methods We used data from a single‐center prospective cohort of adult patients with SLE whose baseline visit ...
Grace Burns +2 more
wiley +1 more source
Journal of Probability and Statistics, 2012 Complex longitudinal data are commonly analyzed using nonlinear mixed-effects (NLME) models with a normal distribution. However, a departure from normality may lead to invalid inference and unreasonable parameter estimates.
Getachew A. Dagne, Yangxin Huang
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Joint regression modeling of location and scale parameters of the skew t distribution with application in soil chemistry data. [PDF]
J Appl Stat, 2022 Prataviera F +4 more
europepmc +1 more source
Arthritis Care &Research, EarlyView.Objective This study aimed to investigate hand function trajectories over five years in primary hand osteoarthritis (OA). Additionally, determinants of baseline and longitudinal hand function were assessed. Methods A total of 538 patients with both baseline and five‐year study visits were analyzed.
Annemiek V. E. M. Olde Meule +4 more
wiley +1 more source
Journal of Statistical Software, 2013 This paper describes an algorithm for fitting finite mixtures of unrestricted Multivariate Skew t (FM-uMST) distributions. The package EMMIXuskew implements a closed-form expectation-maximization (EM) algorithm for computing the maximum likelihood (ML ...
Geoff McLachlan, Sharon X Lee
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Skew Incidence on Concave Wedge With Anisotropic Surface Impedance [PDF]
, 2012 The diffraction of a plane wave at skew incidence by an arbitrary-angled concave wedge with anisotropic impedance faces is studied. Concave wedges are of interest in wireless propagation models, in particular on modeling buildings and reflectors.
Lombardi, Guido, G. Lombardi
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