Results 21 to 30 of about 21,872 (265)
Multivariate measures of skewness for the skew-normal distribution
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BALAKRISHNAN N, SCARPA, BRUNO
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Application of Aeolian Sediments Granulometry Characteristics to Determine the Morphology of Homogenous Sand Dunes through Multivariate Data Analysis (Case Study: Kashan Erg) [PDF]
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 +3 more
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The Effect of External Corporate Governance Mechanism on the Stock Price Crash Risk with Emphasis on Financial Reporting Quality and Auditor Expertise in the Industry [PDF]
Objective: The main purpose of this study is to examine the effect of external corporate governance mechanism on stock price crash risk in firms listed on the Tehran Stock Exchange, with emphasis on financial reporting quality and auditor industry ...
Mahnaz Eslamdoost +2 more
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Multivariate skew-symmetric distributions
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Arjun K. Gupta, Fu-Chuen Chang
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Objective To investigate the correlation of the texture parameters of T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI) with the efficacy of chemoradiotherapy in cervical squamous cell carcinoma.
SU Baiyan +5 more
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A multivariate skew normal distribution
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Gupta, Arjun K. +2 more
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The Skew Normal multivariate risk measurement framework [PDF]
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Mauro Bernardi +2 more
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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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Cumulants of Multivariate Symmetric and Skew Symmetric Distributions [PDF]
This paper provides a systematic and comprehensive treatment for obtaining general expressions of any order, for the moments and cumulants of spherically and elliptically symmetric multivariate distributions; results for the case of multivariate t-distribution and related skew-t distribution are discussed in some detail.
Sreenivasa Rao Jammalamadaka +2 more
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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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