Non-Parametric Analysis Of Variance
As we’ve seen in the last few posts, linear models can be successfully applied to many data sets. However, there may be times when even after transforming va...
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Advanced Experimental Designs
So far, we have considered designs with just two levels per factor, which is fine for inherently binary factors. However, if our study requires us to include...
Logistic Regression
So far, we’ve seen regression techniques for continuous and categorical response variables. There is a different form of regression called logistic regressio...
Transforming Non-Linear Variables
If we have data that includes factors with more than two levels, we have the ability to evaluate non-linear relationships between predictor and response vari...
Model Selection
This post presents methods for finding a balance between under fitting and over fitting a model. Under fitting is when the model is a poor predictor of the r...