Results 51 to 60 of about 672,008 (194)
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 +14 more
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Augoregressive Conditional Kurtosis [PDF]
This paper proposes a new model for autoregressive conditional heteroscedasticity and kurtosis. Via a time-varying degrees of freedom parameter, the conditional variance and conditional kurtosis are permitted to evolve separately. The model uses only the
Simon P. Burke +2 more
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Applied Multivariate Research, v.12 no.3 (complete version)
, 2007 The third issue of Applied Multivariate Research edited by Dennis L. JacksonThe article "Cluster analysis and rankings of Canadian universities: Misadventures with rank-based data and implications for the welfare of students" by Kenneth M.
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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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Kurtosis transformation and kurtosis ordering [PDF]
Leptokurtic distributions can be generated by applying certain non-linear transformations to a standard normal random variable. Within this work we derive general conditions for these transformations which guarantee that the generated distributions are ...
Fischer, Matthias J., Klein, Ingo
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Normrank Correlations for Testing Associations and for Use in Latent Variable Models
Open Education StudiesPearson’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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On Describing Multivariate Skewness: A Directional Approach [PDF]
Most multivariate measures of skewness in the literature measure the overall skewness of a distribution. While these measures are perfectly adequate for testing the hypothesis of distributional symmetry, their relevance for describing skewed ...
J. T. A. S. Ferreira, M. F. J. Steel
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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
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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 +3 more
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Applied Multivariate Research, v.13 no.1 (complete version)
, 2009 The first issue of Applied Multivariate Research edited by Dennis L. JacksonDigitized and published in SOAR:Shocker Open Access Repository by Wichita State University Libraries Technical Services.Multivariate models for three dimensional data / James W ...
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