Results 11 to 20 of about 488,222 (301)
The consequences of non-normality [PDF]
Lattice2001(theorydevelop)
Hip, I. +4 more
openaire +4 more sources
Construction Skewness Correction the And R Control Chart under Non –Normality
Shewhart's charts are powerful tools in Statistical Process Control (SPC) and are widely used. Usually, Shewhart's charts are depending on the normality assumption.
Kawa M. Jamal Rashid
doaj +1 more source
This study investigated the effectiveness of logistic regression models to detect uniform and non-uniform DIF in polytomous items across small sample sizes and non-normality of ability distributions.
M. David Miller +2 more
doaj +2 more sources
In the analysis of neural data, measures of non-Gaussianity are generally applied in two ways: as tests of normality for validating model assumptions and as Independent Component Analysis (ICA) contrast functions for separating non-Gaussian signals ...
Parul Jain +4 more
doaj +1 more source
On non-normality and classification of amplification mechanisms in stability and resolvent analysis [PDF]
We seek to quantify non-normality of the most amplified resolvent modes and predict their features based on the characteristics of the base or mean velocity profile.
Dawson, Scott T. M. +3 more
core +3 more sources
Interpreting eye-fixation durations in terms of cognitive processing load is complicated by the multimodality of their distribution. An important source of multimodality is the distinction between single and multiple fixations to the same object.
Chie Nakatani, Cees van Leeuwen
doaj +1 more source
Filtered overlap: speedup, locality, kernel non-normality and Z_A~1 [PDF]
We investigate the overlap operator with a UV filtered Wilson kernel. The filtering leads to a better localization of the operator even on coarse lattices and with the untuned choice $\rho=1$.
A. Borici +23 more
core +1 more source
Background Studies included in a meta-analysis are often heterogeneous. The traditional random-effects models assume their true effects to follow a normal distribution, while it is unclear if this critical assumption is practical.
Ziyu Liu +7 more
doaj +1 more source
A transformational measurement model for structural equation modeling (SEM) of asymmetric non-normal data is proposed. This measurement model aligns with the expectation-maximization (EM) algorithm of the maximum likelihood estimation (MLE) method ...
Karl Schweizer +2 more
doaj +1 more source
On a generalized approach to the linear stability of spatially nonuniform thin film flows [PDF]
The presence of a deformable free surface in thin films driven to spread by body or shear forces gives rise to base states that are spatially nonuniform.
Davis, Jeffrey M., Troian, Sandra M.
core +1 more source

