Results 31 to 40 of about 685,977 (197)
Grain size distribution and classes present in sedimentary rocks are responsive to the physical changes of the transporting media and the basin of deposition.
P. R. IKHANE, O.V. OLADIPO, O.O. OYEBOLU
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covsim: An R Package for Simulating Non-Normal Data for Structural Equation Models Using Copulas
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 +2 more
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On relative skewness for multivariate distributions [PDF]
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 +3 more
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Quantifying the impact of addressing data challenges in prediction of length of stay
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 +4 more
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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 +2 more
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Skewness for multivariate distributions: two approaches
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Avérous, Jean, Meste, Michel
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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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The third issue of the Journal of Multivariate Experimental Personality and Clinical Psychology edited by G.R. Pierson. Editorial policy board: R.B. Cattell, H.J. Eysenck, J.P. Guilford and P.E.
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Multivariate geometric skew-normal distribution [PDF]
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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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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