Results 11 to 20 of about 30,095 (256)
On mixtures of skew normal and skew $$t$$ -distributions [PDF]
Advances in Data Analysis and Classification, 2013 Finite mixture of skew distributions have emerged as an effective tool in modelling heterogeneous data with asymmetric features. With various proposals appearing rapidly in the recent years, which are similar but not identical, the connections between them and their relative performance becomes rather unclear.
Sharon X. Lee, Geoffrey J. McLachlan
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An Extension of the Truncated-Exponential Skew- Normal Distribution
Mathematics, 2021 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
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The Exponential-Centred Skew-Normal Distribution [PDF]
Symmetry, 2020 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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The multivariate skew-normal distribution [PDF]
Biometrika, 1996 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
AZZALINI, ADELCHI +1 more
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Copulaesque Versions of the Skew-Normal and Skew-Student Distributions [PDF]
Symmetry, 2021 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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Some Statistical Aspects of the Truncated Multivariate Skew-t Distribution
Mathematics, 2022 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
Mathematics, 2022 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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Mathematics, 2022 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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Mathematics, 2023 In this article, we establish properties that relate quantiles of the log-skew-normal distribution to its parameters, allowing us to investigate the relationship between quantiles of a positive skewed response variable and a set of explanatory variables ...
Raúl Alejandro Morán-Vásquez +2 more
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A Conversation with Adelchi Azzalini and Narayanaswamy Balakrishnan
Statistica, 2020 On November 6, 2017, the Department of Statistical Sciences of the University of Bologna organized a workshop to celebrate the life and works of Antonella Capitanio, one year after her premature death.
Angela Montanari
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