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An extension of the half-normal distribution
(SPRINGERNEW YORK, 2012)
In this paper we introduce a new distribution, namely, the slashed half-normal distribution and it can be seen as an extension of the half-normal distribution. It is shown that the resulting distribution has more kurtosis ...
A log-Birnbaum-Saunders regression model with asymmetric errors
(TAYLOR & FRANCIS LTDABINGDON, 2012)
This paper introduces a skewed log-Birnbaum-Saunders regression model based on the skewed sinh-normal distribution proposed by Leiva et al. [A skewed sinh-normal distribution and its properties and application to air ...
Multivariate Skew-Normal Generalized Hyperbolic distribution and its properties
(Elsevier IncSan DiegoEUA, 2014)
A new class of skew-normal distributions
(TAYLOR & FRANCIS INC, 2004)
We introduce a new family of asymmetric normal distributions that contains Azzalini's skew-normal (SN) distribution as a special case. We study the main properties of this new family, showing in particular that it may be ...
Simulação estocástica da radiação fotossinteticamente ativa e da temperatura do ar por diferentes métodos
(Pesquisa Agropecuária Brasileira, Brasília, v. 42, n.9, p. 1211-1219, set. 2007, 2014)
On the unification of families of skew-normal distributions
(BLACKWELL PUBLISHING, 2006)
The distribution theory literature connected to the multivariate skew-normal distribution has grown rapidly in recent years, and a number of extensions and alternative formulations have been put forward. Presently there ...
A new class of skew-symmetric distributions and related families
(TAYLOR & FRANCIS LTD, 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND, 2013)
A note on the Fisher information matrix for the flexible generalized-skew-normal model
(SPRINGER HEIDELBERG, 2020)
A robust Birnbaum–Saunders regression model based on asymmetric heavy-tailed distributions
(2021-10-01)
Skew-normal/independent distributions provide an attractive class of asymmetric heavy-tailed distributions to the usual symmetric normal distribution. We use this class of distributions here to derive a robust generalization ...