Results 21 to 30 of about 672,008 (194)

A New Goodness of Fit Test for Multivariate Normality and Comparative Simulation Study

Mathematics, 2021
The testing of multivariate normality remains a significant scientific problem. Although it is being extensively researched, it is still unclear how to choose the best test based on the sample size, variance, covariance matrix and others.
Jurgita Arnastauskaitė, Tomas Ruzgas, Mindaugas Bražėnas   +2 more
doaj   +1 more source

Some Remarks on Koziol's Kurtosis [PDF]

, 2020
James Koziol, in his 1987 and 1989 papers, proposed to use the sums of either the squared fourth-order cumulants or moments as test statistics for multivariate normality.
LOPERFIDO, NICOLA MARIA RINALDO
core   +1 more source

A Class of Univariate Non-Mesokurtic Distributions Using a Continuous Uniform Symmetrizer and Chi Generator

Statistica, 2021
In a good number of real life situations, the observations on a random variable of interest tend to concentrate either too closely or too thinly around a central point but symmetrically like the normal distribution. The symmetric structure of the density
Kamala Naganathan Radhalakshmi, Martin Luther William   +1 more
doaj   +1 more source

On the Canonical Form of Scale Mixtures of Skew-Normal Distributions

Statistica, 2020
The canonical form of scale mixtures of multivariate skew-normal distribution is defined, emphasizing its role in summarizing some key properties of this class of distributions.
Antonella Capitanio
doaj   +1 more source

Integrated Condition Monitoring and Prognosis Method for Incipient Defect Detection and Remaining Life Prediction of Low Speed Slew Bearings

Machines, 2017
This paper presents an application of multivariate state estimation technique (MSET), sequential probability ratio test (SPRT) and kernel regression for low speed slew bearing condition monitoring and prognosis. The method is applied in two steps.
Wahyu Caesarendra, Tegoeh Tjahjowidodo, Buyung Kosasih, Anh Kiet Tieu   +3 more
doaj   +1 more source

Application of Aeolian Sediments Granulometry Characteristics to Determine the Morphology of Homogenous Sand Dunes through Multivariate Data Analysis (Case Study: Kashan Erg) [PDF]

مدیریت بیابان, 2013
Kashan Erg is one of the most important sand seacomplexes in Iran. The Current research tried to determine the homogeneity of Kashan Erg through multivariate data analysis.
Asghar Tavakkoli Fard, Ali Akbar Nazari Samani, Hoda Ghasemieh, Nasser Mashhadi   +3 more
doaj   +1 more source

covsim: An R Package for Simulating Non-Normal Data for Structural Equation Models Using Copulas

Journal of Statistical Software, 2022
In factor analysis and structural equation modeling non-normal data simulation is traditionally performed by specifying univariate skewness and kurtosis together with the target covariance matrix.
Steffen Grønneberg, Njål Foldnes, Katerina M. Marcoulides   +2 more
doaj   +1 more source

A Neural Network Based on the Johnson S_U Translation System and Related Application to Electromyogram Classification

IEEE Access, 2021
Electromyogram (EMG) classification is a key technique in EMG-based control systems. Existing EMG classification methods, which do not consider EMG features that have distribution with skewness and kurtosis, have limitations such as the requirement to ...
Hideaki Hayashi, Taro Shibanoki, Toshio Tsuji   +2 more
doaj   +1 more source

Quantitative CT variables enabling response prediction in neoadjuvant therapy with EGFR-TKIs: are they different from those in neoadjuvant concurrent chemoradiotherapy?

PLoS ONE, 2014
Background and purposeTo correlate changes of various CT parameters after the neoadjuvant treatment in patients with lung adenocarcinoma with pathologic responses, focused on their relationship with different therapeutic options, particularly of EGFR-TKI
Yousun Chong, Jae-Hun Kim, Ho Yun Lee, Yong Chan Ahn, Kyung Soo Lee, Myung-Ju Ahn, Jhingook Kim, Young Mog Shim, Joungho Han, Yoon-La Choi   +9 more
doaj   +1 more source

Definição do tamanho amostral usando simulação Monte Carlo para o teste de normalidade baseado em assimetria e curtose. II.: abordagem multivariada Sample size definition using Monte Carlo simulation for the normality test based on skewness and kurtosis. II.: multivariate approach

Ciência e Agrotecnologia, 2003
Realizou-se este trabalho com o objetivo de determinar um tamanho amostral ótimo para as estatísticas univariadas de assimetria e curtose (z1 e z2) que, neste caso, foram adaptadas para o caso multivariado, e as estatísticas multivariadas de assimetria e
Andréa Cristiane dos Santos, Daniel Furtado Ferreira   +1 more
doaj   +1 more source