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A multivariate skew normal distribution
Journal of Multivariate Analysis, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gupta, Arjun K. +2 more
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Multivariate stochastic dominance for multivariate normal distribution [PDF]
Kybernetika, 2019 summary:Stochastic dominance is widely used in comparing two risks represented by random variables or random vectors. There are general approaches, based on knowledge of distributions, which are dedicated to identify stochastic dominance.
Petrová, Barbora
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Malaysian Women Shoe Sizing System Using Multivariate Normal Probability Distribution
IEEE Access, 2019 The Malaysian women population frequently face the problem of finding the best fitting shoes. This problem is created by the absence of a Malaysian women shoe sizing system.
Mohd Faizal Mohd Hamzah +3 more
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Testing of Hypotheses on a Multivariate Population: Some of the Variates Being Continuous and the Rest Categorical [PDF]
The Egyptian Statistical Journal, 1958 We consider a (k+1)-variate distribution in which k variates are continuous and I variate are categorical. The k variates are assumed to have a conditional multivariate normal distribution with respect to the I categorical variates which are assumed to ...
M. Moustafa
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Sampling the Multivariate Standard Normal Distribution under a Weighted Sum Constraint
Risks, 2018 Statistical modeling techniques—and factor models in particular—are extensively used in practice, especially in the insurance and finance industry, where many risks have to be accounted for.
Frédéric Vrins
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Testing Multivariate Normality Based on F-Representative Points
Mathematics, 2022 The multivariate normal is a common assumption in many statistical models and methodologies for high-dimensional data analysis. The exploration of approaches to testing multivariate normality never stops.
Sirao Wang +3 more
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More on the Supremum Statistic to Test Multivariate Skew-Normality
Computation, 2021 This review is about verifying and generalizing the supremum test statistic developed by Balakrishnan et al. Exhaustive simulation studies are conducted for various dimensions to determine the effect, in terms of empirical size, of the supremum test ...
Timothy Opheim, Anuradha Roy
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On the Canonical Form of Scale Mixtures of Skew-Normal Distributions
Statistica, 2020 The canonical form of scale mixtures of multivariate skew-normal distribution is defined, emphasizing its role in summarizing some key properties of this class of distributions.
Antonella Capitanio
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Stats, 2022 This paper is concerned with the multivariate extended skew-normal [MESN] and multivariate extended skew-Student [MEST] distributions, that is, distributions in which the location parameters of the underlying truncated distributions are not zero.
Christopher J. Adcock
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Remote Sensing, 2019 Point cloud segmentation for planar surface detection is a valid problem of automatic laser scans analysis. It is widely exploited for many industrial remote sensing tasks, such as LIDAR city scanning, creating inventories of buildings, or object ...
Jakub Walczak +2 more
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