Analysis of unbalanced factorial designs with heteroscedastic data
DOI10.1080/00949650802482386zbMath1185.62139OpenAlexW1975295975MaRDI QIDQ5306306
M. P. Fernández, Pablo Livacic-Rojas, Guillermo Vallejo
Publication date: 8 April 2010
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949650802482386
model comparisonsgeneral linear modelBox-Cox transformationsBox-typerandom heteroscedastic errorstype I, II and III sums of squaresWelch-James generalizations
Linear regression; mixed models (62J05) Hypothesis testing in multivariate analysis (62H15) Monte Carlo methods (65C05) Factorial statistical designs (62K15)
Related Items (8)
Uses Software
Cites Work
- A method for simulating non-normal distributions
- The Welch-James approximation to the distribution of the residual sum of squares in a weighted linear regression
- Robust and powerful nonorthogonal analyses
- Robust nonorthogonal analyses revisited: An update based on trimmed means
- The Use of the R()-Notation with Unbalanced Data
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- Box-Type Approximations in Nonparametric Factorial Designs
- Some Theorems on Quadratic Forms Applied in the Study of Analysis of Variance Problems, I. Effect of Inequality of Variance in the One-Way Classification
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