Results 41 to 50 of about 2,547,927 (188)
Modelling health scores with the skew-normal distribution [PDF]
, 2009 Health care interventions which use quality of life or health scores often provide data which are skewed and bounded. The scores are typically formed by adding up responses to a number of questions. Different questions might have different weights, but
Stanghellini, E., Hutton, Jane
core
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
doaj +1 more source
Some Statistical Aspects of the Truncated Multivariate Skew-t Distribution
Mathematics, 2022 The multivariate skew-t distribution plays an important role in statistics since it combines skewness with heavy tails, a very common feature in real-world data.
Raúl Alejandro Morán-Vásquez +2 more
doaj +1 more source
Skew-Symmetric Generalized Normal and Generalized t Distributions
AxiomsIn this paper, we introduce the skew-symmetric generalized normal and the skew-symmetric generalized t distributions, which are skewed extensions of symmetric special cases of generalized skew-normal and generalized skew-t distributions, respectively. We
Najmeh Nakhaei Rad +3 more
doaj +1 more source
Surprising Implications of Differences in Locations Versus Differences in Means
Methodology, 2023 Social science researchers depend on differences in means between experimental and control conditions to draw substantive conclusions. However, an alternative is to use differences in locations. For normal distributions, means and locations are the same,
David Trafimow +10 more
doaj +1 more source
An Extension of the Epsilon-Skew-Normal Distribution
Communications in Statistics - Theory and Methods, 2010 This article is related with the probabilistic and statistical properties of an parametric extension of the so-called epsilon-skew-normal (ESN) distribution introduced by Mudholkar and Hutson (2000), which considers an additional shape parameter in order to increase the flexibility of the ESN distribution.
Arellano Valle, Reinaldo B. +2 more
openaire +4 more sources
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
core +1 more source
A Method to Simulate the Skew Normal Distribution
Applied Mathematics, 2014 A new method is developed to simulate the skew normal distribution. The result is interesting from a practical as well as a theoretical viewpoint. The new method is simple to program and is more efficient than the standard method of simulation by acceptance-rejection method.
Ghorbanzadeh, Dariush +2 more
openaire +3 more sources
Resampling Techniques for Estimating the Parameters of Grubbs Model with Asymmetric Heavy-Tailed Distributions [PDF]
The Egyptian Statistical Journal, 2017 In this paper, three resampling techiques are considered, namely, bootstrap, jack-knife and jackknife after bootstrap. The main objective is to study the performance of these techniques for maximum likehood estimation for the parameters using expectation
Hanadi Mansour, Amany Mousa
doaj +1 more source
The Skew Normal multivariate risk measurement framework [PDF]
Computational Management Science, 2019 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mauro Bernardi +2 more
openaire +4 more sources