Size and power of tests for a zero random effect variance or polynomial regression in additive and linear mixed models
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Publication:1023666
DOI10.1016/j.csda.2007.10.022zbMath1452.62531OpenAlexW2062809207MaRDI QIDQ1023666
Helmut Küchenhoff, Fabian Scheipl, Sonja Greven
Publication date: 12 June 2009
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2007.10.022
Computational methods for problems pertaining to statistics (62-08) Parametric hypothesis testing (62F03) Bootstrap, jackknife and other resampling methods (62F40) Analysis of variance and covariance (ANOVA) (62J10)
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Uses Software
Cites Work
- Unnamed Item
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- Applying Wald's variance component test
- Pseudo maximum likelihood estimation: Theory and applications
- Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
- The Use of Score Tests for Inference on Variance Components
- Geoadditive Models
- Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests Under Nonstandard Conditions
- Approximate F-tests of multiple degree of freedom hypotheses in generalized least squares analyses of unbalanced split-plot experiments
- Small Sample Inference for Fixed Effects from Restricted Maximum Likelihood
- Degrees-of-freedom tests for smoothing splines
- Semiparametric Regression
- Mixed-Effects Models in S and S-PLUS
- Likelihood Ratio Tests in Linear Mixed Models with One Variance Component
- Likelihood Ratio Testing of Variance Components in the Linear Mixed-Effects Model Using Restricted Maximum Likelihood
- Variance Components Testing in the Longitudinal Mixed Effects Model
- Exact likelihood ratio tests for penalised splines
- A Note on Regression Analysis