Results 31 to 40 of about 2,547,927 (188)
Bayesian modeling growth curves for quail assuming skewness in errors
Semina: Ciências Agrárias, 2014 Bayesian modeling growth curves for quail assuming skewness in errors - To assume normal distributions in the data analysis is common in different areas of the knowledge.
Robson Marcelo Rossi +1 more
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Class enumeration false positive in skew-t family of continuous growth mixture models.
PLoS ONE, 2020 Growth Mixture Modeling (GMM) has gained great popularity in the last decades as a methodology for longitudinal data analysis. The usual assumption of normally distributed repeated measures has been shown as problematic in real-life data applications ...
Kiero Guerra-Peña +3 more
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On Some Aspects of a Generalized Asymmetric Normal Distribution
Statistica, 2018 The normal and skew normal distributions are not adequate enough for modeling plurimodal data situations. In order to overcome this drawback of normal and skew normal distribution, Kumar and Anusree (2011) proposed a new class of distribution namely "the
C. Satheesh Kumar, G. V. Anila
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Mathematical and Computer Modelling of Dynamical SystemsIn this paper, we focus on multivariate doubly truncated first two moments of generalized skew-elliptical distributions. This class of distributions includes many useful distributions, such as skew-normal, skew Student-[Formula: see text], skew-logistic ...
Baishuai Zuo, Shaoxin Wang, Chuancun Yin
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On an Absolute Autoregressive Model and Skew Symmetric Distributions
Statistica, 2020 By exploiting the connection between a popular construction of a well-known skew-normal distribution and an absolute autoregressive process, we show how the stochastic process approach can lead to other skew symmetric distributions, including a skew ...
Dong Li, Howell Tong
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Toward a kinetic-based probabilistic time geography [PDF]
, 2014 Time geography represents a powerful framework for the quantitative analysis of individual movement. Time geography effectively delineates the space–time boundaries of possible individual movement by characterizing movement constraints.
Nathoo, F.S. +2 more
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Likelihood Inference of Nonlinear Models Based on a Class of Flexible Skewed Distributions
Abstract and Applied Analysis, 2014 This paper deals with the issue of the likelihood inference for nonlinear models with a flexible skew-t-normal (FSTN) distribution, which is proposed within a general framework of flexible skew-symmetric (FSS) distributions by combining with skew-t ...
Xuedong Chen +2 more
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Scientific African, 2023 This study introduces a new conditional innovation density called the generalized odd generalized exponentiated skew-t (GOGEST) distribution for the generalized autoregressive conditional heteroscedasticity (GARCH) volatility models.
O.D. Adubisi, A. Abdulkadir, D.J. Adashu
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Accelerated normal and skew-Hermitian splitting methods for positive definite linear systems [PDF]
Iranian Journal of Numerical Analysis and Optimization, 2013 For solving large sparse non-Hermitian positive definite linear equations, Bai et al. proposed the Hermitian and skew-Hermitian splitting methods (HSS). They recently generalized this technique to the normal and skew-Hermitian splitting methods (NSS). In
F. Toutounian, Davood Hezari
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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
openaire +5 more sources