Results 31 to 40 of about 21,872 (265)

Skewness for multivariate distributions: two approaches

The Annals of Statistics, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Avérous, Jean, Meste, Michel
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Quantifying the impact of addressing data challenges in prediction of length of stay

BMC Medical Informatics and Decision Making, 2021
Background Prediction of length of stay (LOS) at admission time can provide physicians and nurses insight into the illness severity of patients and aid them in avoiding adverse events and clinical deterioration.
Amin Naemi, Thomas Schmidt, Marjan Mansourvar, Ali Ebrahimi, Uffe Kock Wiil   +4 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
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On relative skewness for multivariate distributions [PDF]

TEST, 2015
Félix Belzunce, Julio Mulero and José M. Ruiz acknowledge support received from the Ministerio de Economía y Competitividad (Spain) under grant MTM2012-34023-FEDER.
Belzunce, Félix, Mulero, Julio, Ruíz, José María, Suárez-Llorens, Alfonso   +3 more
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A method to simulate multivariate outliers with known mahalanobis distances for normal and non-normal data

Methods in Psychology
Monte Carlo simulations and theoretical analyses have repeatedly demonstrated the impact of outliers on statistical analysis. Most simulation studies generate outliers using one of two general approaches: by multiplying an arbitrary point by a constant ...
Oscar L. Olvera Astivia
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Assessment of survival in patients with idiopathic pulmonary fibrosis using quantitative HRCT indexes

Multidisciplinary Respiratory Medicine, 2018
Background The assessment of Idiopathic Pulmonary Fibrosis (IPF) using HRCT requires great experience and is limited by a significant inter-observer variability, even between trained radiologists.
Sebastiano Emanuele Torrisi, Stefano Palmucci, Alessandro Stefano, Giorgio Russo, Alfredo Gaetano Torcitto, Daniele Falsaperla, Mauro Gioè, Mauro Pavone, Ada Vancheri, Gianluca Sambataro, Domenico Sambataro, Letizia Antonella Mauro, Emanuele Grassedonio, Antonio Basile, Carlo Vancheri   +14 more
doaj   +1 more source

Multivariate geometric skew-normal distribution [PDF]

Statistics, 2017
Azzalini (1985) introduced a skew-normal distribution of which normal distribution is a special case. Recently Kundu (2014) introduced a geometric skew-normal distribution and showed that it has certain advantages over Azzalini's skew-normal distribution. In this paper we discuss about the multivariate geometric skew-normal distribution. It can be used
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Bayesian Joint Modeling of Multivariate Longitudinal and Survival Data With an Application to Diabetes Study

Frontiers in Big Data, 2022
Joint models of longitudinal and time-to-event data have received a lot of attention in epidemiological and clinical research under a linear mixed-effects model with the normal assumption for a single longitudinal outcome and Cox proportional hazards ...
Yangxin Huang, Jiaqing Chen, Lan Xu, Nian-Sheng Tang   +3 more
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A Multivariate Skew-Normal Mean-Variance Mixture Distribution and Its Application to Environmental Data with Outlying Observations

Journal of Statistical Theory and Applications (JSTA)
The presence of outliers, skewness, kurtosis, and dependency are well-known challenges while fitting distributions to many data sets. Developing multivariate distributions that can properly accomodate all these aspects has been the aim of several ...
M. Tamandi, N. Balakrishnan, A. Jamalizadeh, M. Amiri   +3 more
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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
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