Analysis of variance.
Overview
| Works: | 82 works in 23 publications in 23 languages | |
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Titles
Statistics for experimenters :an introduction to design, data analysis, and model building /
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Design and analysis of experiments for statistical selection, screening, and multiple comparisons /
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Methods and applications of linear models :regression and the analysis of variance /
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Applied linear statistical models :regression, analysis of variance, and experimental designs /
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Methods and applications of linear models :regression and the analysis of variance /
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Design and analysis of gauge R&R studies :making decisions with confidence intervals in random and mixed ANOVA models /
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Introduction to analysis of variance :design, analysis, & interpretation /
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Extending the linear model with R :generalized linear, mixed effects and nonparametric regression models /
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Generalized inference in repeated measures :Exact methods in MANOVA and mixed models /
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Introduction to mixed modelling :beyond regression and analysis of variance /
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Introduction to mixed modelling :beyond regression and analysis of variance /
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Analysis of Variance for Random Models.Theory, Methods, Applications, and Data Analysis /Volume 2,Unbalanced Data
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Analysis of variance and covariance :how to choose and construct models for the life sciences /
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Design and analysis of gauge R&R studiesmaking decisions with confidence intervals in random and mixed ANOVA models /
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Linear models :the theory and application of analysis of variance /
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Permutation tests for stochastic ordering and ANOVAtheory and applications with R /
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Regression, ANOVA, and the general linear model :a statistics primer /
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Inference on the Hurst parameter and the variance of diffusions driven by fractional Brownian motion
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Analysis of variance and regression :multiple decision theoretic approach /
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Introduction to mixed modellingbeyond regression and analysis of variance /
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Important applications of the Behrens-Fisher statistic and the false discovery rate
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