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Linear Regression Analysis and Analysis of Variance

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Analysis of Variance

R Companion to Montgomerys Design and Analysis of Experiments (2005) by Christophe Lalanne -82 pages-

Introduction to Design and Analysis of Experiments by Doug Wiens -262 slides-

Introduction to Analysis of Variance With Sound by James Jones -24 slides-

Estimation of Variance Components by Julius van der Werf -28 slides-

Analysis of variance and experimental design by Stelios Psarakis and Vassilis Vasdekis -5 chapters in Greek-

Repeated Measures ANOVA

ANOVA approaches to Repeated Measures -63 pages-

Repeated Measures ANOVA by Andy Field - 22 pages -

The Analysis of Repeated Measures: A Practical Review with Examples by B. S. Everitt -24 pages-

Nested Design & Split-Plot Design

Nested Analysis & Split-Plot Designs using R by M.J. Crawley -46 pages-

Nested Factors Design of Experiments - Montgomery Chapter 13 -9 pages-

Nested Designs and Split-Plot Designs -23 slides-

Linear Regression Analysis

Residuals and Influence in Regression by R. Dennis Cook and Stanford Weisberg -240 pages-

The Classical Linear Regression Model by Arne Hallam -41 pages-

Restricted Least Squares, Hypothesis Testing and Prediction in the Classical Linear Regression Model by Arne Hallam -21 pages-

Large Sample Properties of Estimators in the Classical Linear Regression Model by Arne Hallam -35 pages-

Lecture notes on Regression Analysis by Jan Vrbik -57 pages-

Statistical Inference in the Classical Linear Regression Model by Arne Hallam -31 pages-

Overview of Violations of the Basic Assumptions in the Classical Normal Linear Regression Model by Arne Hallam -24 pages-

Multivariate Linear Models by Stanley Sawyer -29 pages-

Correlation-Regression by Dimitris Fouskakis -Coefficient of Determination, Multiple Regression, Warnings and Issues -91 slides-

Regression Analysis by Kenneth J. Koehler -19 pages-

Collinearity by Richard Williams -11 pages-

Understanding Correlation by R.J. Rummel -on-line textbook-

Analysis of Variance and Linear Regression Analysis

Statistical Analysis with The General Linear Model by Jeff Miller and Patricia Haden - 274 pages -

Experimental Statistics for Biological Sciences I by Marie Davidian -ANOVA, Multiple Comparisons, Simple Linear Regression -371 pages-

Practical Regression and Anova Using R by Faraway, J. -213 pages-

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Analysis of Non-Linear Models by Kenneth J. Koehler -29 pages-

Lecture notes on Analysis of Variance and Regression Analysis by Richard Lockhart

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