Results 261 to 270 of about 14,405,507 (294)

On the Extended Birnbaum–Saunders Distribution Based on the Skew-t-Normal Distribution

Iranian Journal of Science and Technology, Transactions A: Science, 2018
In this article, a generalized version of the univariate Birnbaum–Saunders distribution based on the skew-t-normal distribution is introduced and its characterizations, properties are studied. Maximum likelihood estimation of the parameters via the ECM algorithm evaluated by Monte Carlo simulations is also discussed.
Tahereh Poursadeghfard, Ahad Jamalizadeh, Alireza Nematollahi   +2 more
openaire   +1 more source

A robust factor analysis model using the restricted skew- $$t$$ t distribution

TEST, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lin, T., Wu, P., McLachlan, G., Lee, S.
openaire   +4 more sources

Three-step estimation in linear mixed models with skew-t distributions

Journal of Statistical Planning and Inference, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhou, Tianyue, He, Xuming
openaire   +1 more source

Robust mixture modeling using multivariate skew t distributions

Statistics and Computing, 2009
This paper presents a robust mixture modeling framework using the multivariate skew t distributions, an extension of the multivariate Student's t family with additional shape parameters to regulate skewness. The proposed model results in a very complicated likelihood.
openaire   +2 more sources

Robust estimation with the skew t2 distribution

2019
In this paper, a skew extension of the Student's t distribution with two degrees of freedom is used to model data sets that have skewness and heavy-tails. Its parameters are estimated using two different approaches based on maximum likelihood estimation method. Simulation studies and some real data examples are provided to illustrate the performance of
Acitas, Sukeu, Kasap, Pelin, Senoglu, Birdal, Arslan, Olcay   +3 more
openaire   +4 more sources

Flexible Distributions as an Approach to Robustness: The Skew-t Case

2016
The use of flexible distributions with adaptive tails as a route to robustness has a long tradition. Recent developments in distribution theory, especially of non-symmetric form, provide additional tools for this purpose. We discuss merits and limitations of this approach to robustness as compared with classical methodology. Operationally, we adopt the
openaire   +1 more source

Prediction of ductile fracture in skew rolling processes

International Journal of Machine Tools and Manufacture, 2021
Zbigniew Pater, Łukasz Wójcik, Mikhail Mikhailovich Skripalenko   +2 more
exaly  

Distributions generated by perturbation of symmetry with emphasis on a multivariate skew-t distribution

2003
A fairly general procedure is studied to perturbate a multivariate density satisfying a weak form of multivariate symmetry, and to generate a whole set of non-symmetric densities. The approach is general enough to encompass a number of recent proposals in the literature, variously related to the skew normal distribution, The special case of skew ...
AZZALINI, ADELCHI, CAPITANIO
openaire   +1 more source

Coastal Flooding and the Multivariate Skew-t Distribution

2004
Rogelio Ramos-Quiroga, Yingshuo Shen
openaire   +2 more sources

A New Class of Skew-Normal Distributions

Communications in Statistics - Theory and Methods, 2004
Osvaldo Venegas, Reinaldo B. Arellano-Valle, Fernando A Quintana   +2 more
exaly