Generalized least squares regression
GLS regression for time-series data, including diagnosis of autoregressive moving average (ARMA) models for the correlation structure of the residuals.
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Linear mixed effects models
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23: Mahalanobis distance
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Regression with Count Data: Poisson and Negative Binomial
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Time series and first differences
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Linear regression
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28: Principal Component Analysis
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30: Maximum likelihood estimation
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Partial and semipartial correlation
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26: Resampling methods (bootstrapping)
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Ordinary Least Squares Regression
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Generalised Least Squares (GLS) Theory
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Multiple regression
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29: Non-Metric Multidimensional Scaling (NMDS)
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How to interpret (and assess!) a GLM in R
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Factorial ANOVA
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Statistical power
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21: ANCOVA
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What is Multicollinearity? Extensive video + simulation!
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Regularization Part 1: Ridge (L2) Regression
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