Testing of homogeneity of variance and autocorrelation coefficients of nonlinear mixed models with AR(1) errors based on M-estimation
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Publication:5138538
DOI10.1080/02664763.2016.1169259OpenAlexW2325457882MaRDI QIDQ5138538
Publication date: 4 December 2020
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2016.1169259
hypothesis testingheteroscedasticityM-estimationautocorrelation coefficientnonlinear mixed-effects modelsAR(1) errors
Uses Software
Cites Work
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- Influence diagnostics in nonlinear mixed-effects elliptical models
- Misspecified models with dependent observations
- Robust Two‐Stage Estimation in Hierarchical Nonlinear Models
- Hypothesis testing of regression parameters in semiparametric generalized linear models for cluster correlated data
- Mixed-Effects Models in S and S-PLUS
- Robustness for general design mixed models using thet-distribution
- Robust inference in generalized linear models for longitudinal data
- Robust Analysis of Generalized Linear Mixed Models
- Robust Statistics
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