Analysis of Variance
By John Geweke, Gianni Amisano. Applied Engineering Statistics, 2021
1,451 citations recorded by the source corpus.
Introduction to Mixed ModellingExperimental Design and the Analysis of VariancePrimer of Applied Regression & Analysis of VarianceAnalysis of Variance and CovarianceExperiments in EcologyLearning Statistics with RAnalysis of Variance Via Confidence IntervalsMultivariate Analysis of Variance (MANOVA)Statistical Methods for GeographyMultivariate Analysis of Variance and Repeated MeasuresThe Analysis of VarianceApplied Analysis of Variance in Behavioral ScienceLevine's Guide to SPSS for Analysis of VarianceSequential AnalysisAnalysis of Variance, Design, and RegressionStatistics for Health Care ProfessionalsThe Analysis of VarianceThe SAGE Dictionary of Social Research MethodsAnalysis of Variance for Functional DataTwo-Way Analysis of VarianceAnalysis of Variance DesignsAnalysis of Variance for Random ModelsLinear ModelsOnline Statistics EducationAnalysis of VarianceA Student's Guide to Analysis of VarianceApplied Statistics in Agricultural, Biological, and Environmental SciencesData Analysis Using SASEncyclopedia of Survey Research MethodsThe Analysis of VarianceEncyclopedia of Research DesignAnalysis of Variance for Sensory DataStatistics Using Technology, Second EditionAdvanced Analysis of VarianceAnalysis of VarianceA Practical Approach to Using Statistics in Health ResearchThe SAGE Encyclopedia of Communication Research MethodsAnalysis of Variance, Design, and RegressionStatistical Analysis Quick Reference GuidebookIntroduction to Analysis of Variance
Subfields: Computer Networks and Communications, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/d04d12ef8b887e4682fe01108cc3ac6f542444d4
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In Computer Networks and Communications
In Management Science and Operations Research
Citations in the corpus
- Nonparametric methods for unbalanced multivariate data and many factor levels (2008, background): “While the first pair (H 1 , G 1 ) represents a straightforward extension of the univariate one-way analysis of variance (see, e.g., Scheffé [17], p.59), the multivariate test statistics based on (H 1 , G 1 ) have a rather complicated asymptotic (a → ∞) variance, which led us to consider other…”
- Analysis of variance, inference, multiple comparisons and sampling effects in soil research (2007, methodology): “The tests go by the names of their inventors and include Scheffé’s test (Scheffé, 1959), Newman–Keuls (Keuls, 1952), Tukey’s ‘honest significant difference’ (see Millikan & Johnson, 1992, page 36) and Duncan’s multiple range test (DMRT; Duncan, 1955).”
- Design and Analysis of Experiments (2001, neutral): “Comprehensive treatment of variance component estimation is given by Searle (1971a, 1971b), Searle, Casella, and McCullogh (1992), and Burdick and Graybill (1992).”
- Leave‐Out Estimation of Variance Components (2018, neutral): “In general, however, this estimator will be biased (see, e.g., Scheffe, 1959, chapter 10).”
- Optimum design of experiments for statistical inference (2012, methodology): “In the context of factorial experiments, Scheffé (1959), pages 126–127, strongly condemned”
- Experimental Design and Data Analysis for Biologists (2002, neutral): “inates with Scheffé (1959) and is termed the restricted (or -restricted) model”
- Fixing the F Test for Equal Variances (2003, neutral): “This matching of moments technique is a variation of the Satterwaite technique commonly used in ANOVA (Scheff́e 1959, p. 247).”