Experimental situations in which observations are not normally distributed frequently occur in practice. A common situation occurs when responses are discrete in nature, for example counts. One way to analyze such experimental data is to use a transformation for the responses; another is to use a link function based on a generalized linear model (GLM) approach. Re-sampling is employed as an alternative method to analyze non-normal, discrete data. Results are compared to those obtained by the previous two methods.
Qumsiyeh, Maher and Shaughnessy, Gerald
"Comparison of Re-sampling Methods to Generalized Linear Models and Transformations in Factorial and Fractional Factorial Designs,"
Journal of Modern Applied Statistical Methods:
1, Article 8.
Available at: http://digitalcommons.wayne.edu/jmasm/vol11/iss1/8