Results 11 to 20 of about 6,790,902 (292)
A multivariate skew normal distribution [PDF]
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Gupta, Arjun K. +2 more
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The Exponential-Centred Skew-Normal Distribution [PDF]
Data from some research fields tend to exhibit a positive skew. For example, in experimental psychology, reaction times (RTs) are characterised as being positively skewed. However, it is not unlikely that RTs can take a normal or, even, a negative shape. While the Ex-Gaussian distribution is suitable to model positively skewed data, it cannot cope with
Guillermo Martínez-Flórez +2 more
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On the Skew-Normal-Cauchy Distribution
In this article, we study further properties of a skew normal distribution, called the skew-normal-Cauchy (SNC) distribution by Nadarajah and Kotz (2003). A stochastic representation is obtained which allows alternative derivations for moments, moments generating function, and skewness and kurtosis coefficients.
Arrue, Jaime +3 more
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An Extension of the Truncated-Exponential Skew- Normal Distribution
In the paper, we present an extension of the truncated-exponential skew-normal (TESN) distribution. This distribution is defined as the quotient of two independent random variables whose distributions are the TESN distribution and the beta distribution ...
Pilar A. Rivera +4 more
doaj +1 more source
The multivariate skew-normal distribution [PDF]
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AZZALINI, ADELCHI +1 more
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Copulaesque Versions of the Skew-Normal and Skew-Student Distributions [PDF]
A recent paper presents an extension of the skew-normal distribution which is a copula. Under this model, the standardized marginal distributions are standard normal. The copula itself depends on the familiar skewing construction based on the normal distribution function. This paper is concerned with two topics.
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Geometric skew-Cauchy distribution as an alternative to the skew-normal and geometric skew-normal distributions [PDF]
Mini Dissertation (MSc (Advanced Data Analytics))--University of Pretoria, 2021.The skew-normal distribution was popularised by Azzalini [4] to model skewed data. However, the skew-normal distribution is always unimodal. Kundu [24] recently presented the
core +1 more source
Some Statistical Aspects of the Truncated Multivariate Skew-t Distribution
The multivariate skew-t distribution plays an important role in statistics since it combines skewness with heavy tails, a very common feature in real-world data.
Raúl Alejandro Morán-Vásquez +2 more
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Inference and Local Influence Assessment in a Multifactor Skew-Normal Linear Mixed Model
This work considers a multifactor linear mixed model under heteroscedasticity in random-effect factors and the skew-normal errors for modeling the correlated datasets.
Zeinolabedin Najafi +4 more
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In this study, we consider an alternative to the log-skew-normal distribution. It is called the modified log-skew-normal distribution and introduces greater flexibility in the skewness and kurtosis parameters.
Jaime Arrué +4 more
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