Nonlinear regression models under skew scale mixtures of normal distributions

Clécio S. Ferreira; Víctor H. Lachos

doi:10.1016/j.stamet.2016.08.004

ScienceGate Book Chapters

JOURNAL ARTICLE

Nonlinear regression models under skew scale mixtures of normal distributions

Clécio S. Ferreira Víctor H. Lachos

Year: 2016 Journal: Statistical Methodology Vol: 33 Pages: 131-146 Publisher: Elsevier BV

DOI: 10.1016/j.stamet.2016.08.004

Get Full-Text PDF Get Analytical Report

Keywords:

Mathematics Skew Nonlinear system Applied mathematics Nonlinear regression Robustness (evolution) Generalization Expectation–maximization algorithm Regression Regression analysis Statistics Maximum likelihood Mathematical analysis Computer science

Metrics

Cited By

1.39

FWCI (Field Weighted Citation Impact)

Refs

0.86

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Statistical Distribution Estimation and Applications

Physical Sciences → Mathematics → Statistics and Probability

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Nonlinear regression models under skew scale mixtures of normal distributions

Metrics

Citation History

Topics

Related Documents

Semiparametric regression models under skew scale mixtures of normal distributions

Nonlinear regression models based on scale mixtures of skew-normal distributions

Heteroscedastic nonlinear regression models based on scale mixtures of skew-normal distributions

Inference and diagnostics for heteroscedastic nonlinear regression models under skew scale mixtures of normal distributions

Statistical diagnostics for nonlinear regression models based on scale mixtures of skew-normal distributions