Results 41 to 50 of about 16,179 (161)

A method of generating multivariate non-normal random numbers with desired multivariate skewness and kurtosis [PDF]

Behavior Research Methods, 2019
In social and behavioral sciences, data are typically not normally distributed, which can invalidate hypothesis testing and lead to unreliable results when being analyzed by methods developed for normal data. The existing methods of generating multivariate non-normal data typically create data according to specific univariate marginal measures such as ...
Wen, Qu, Haiyan, Liu, Zhiyong, Zhang
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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
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Posterior Analysis of State Space Model with Spherical Symmetricity

Journal of Probability and Statistics, 2015
The present work investigates state space model with nonnormal disturbances when the deviation from normality has been observed only with respect to kurtosis and the distribution of disturbances continues to follow a symmetric family of distributions ...
Ranjita Pandey
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Normrank Correlations for Testing Associations and for Use in Latent Variable Models

Open Education Studies
Pearson’s correlation is widely used to test for an association between two variables and also forms the basis of several multivariate statistical procedures including many latent variable models. Spearman’s ρ\rho is a popular alternative.
Wright Daniel B.
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The value of diffusion kurtosis imaging to predict early radiotherapy response in nasopharyngeal carcinoma patients

Zhongguo aizheng zazhi, 2018
Background and purpose: Magnetic resonance imaging (MRI) diffusion kurtosis imaging (DKI) is a new non-invasive functional imaging technology, which is the extension and development of diffusion tensor imaging (DTI) technology.
吴　刚, 王　奋, 林少民
doaj  

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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Hessian Stochastic Ordering in the Family of multivariate Generalized Hyperbolic Distributions and its Applications

پژوهش‌های ریاضی, 2022
In this paper, random vectors following the multivariate generalized hyperbolic (GH) distribution are compared using the hessian stochastic order. This family includes the classes of symmetric and asymmetric distributions by which different behaviors of ...
Mehdi Amiri, Ahad Jamalizadeh, Salman Izadkhah   +2 more
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Prognostic Value of Pre‐Treatment Diffusion Kurtosis Imaging for Progression‐Free Survival Prediction in Advanced Nasopharyngeal Carcinoma

Cancer Medicine
Purpose This study aimed to evaluate the value of diffusion kurtosis imaging (DKI) for prognostic value for long‐term PFS in nasopharyngeal carcinoma (NPC).
Wang Ren, Xiang Zheng, Shizhong Wu, Caixia Wu, Dechun Zheng   +4 more
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Multivariate skewness and kurtosis measures with an application in ICA

Journal of Multivariate Analysis, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A Single-End Location Method for Small Current Grounding System Based on the Minimum Comprehensive Entropy Kurtosis Ratio and Morphological Gradient

Applied Sciences
Fault location technology is crucial for enhancing the efficiency of fault maintenance and ensuring the safety of the power supply in small current grounding systems.
Jiyuan Cao, Yanwen Wang, Lingjie Wu, Yongmei Zhao, Le Wang   +4 more
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