Nonlinear mixed-effects models with scale mixture of skew-normal distributions
| Autor: | Cibele M. Russo, Marcos Antonio Alves Pereira |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Statistics and Probability
REGRESSÃO LOGÍSTICA Scale (ratio) Skew 01 natural sciences Normal distribution 010104 statistics & probability 03 medical and health sciences Nonlinear system 0302 clinical medicine Skewness Expectation–maximization algorithm Applied mathematics 030212 general & internal medicine Sensitivity (control systems) 0101 mathematics Statistics Probability and Uncertainty Nonlinear regression Mathematics |
| Zdroj: | Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP |
| ISSN: | 1360-0532 0266-4763 |
| DOI: | 10.1080/02664763.2018.1557122 |
| Popis: | Aiming to avoid the sensitivity in the parameters estimation due to atypical observations or skewness, we develop asymmetric nonlinear regression models with mixed-effects, which provide al... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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