(This article was first published on R Tutorial, and kindly contributed to R-bloggers)
A statistical method is called non-parametric if it makes no assumption on the
population distribution or sample size.
This is in contrast with most parametric methods in elementary statistics that assume the data is quantitative, the population has a normal distribution and the sample size is sufficiently large.
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Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
