Bootstrapping

A Nonparametric Approach to Statistical Inference

af Christopher Z. Mooney

Bootstrapping, a computational nonparametric technique for `re-sampling'', enables researchers to draw a conclusion about the characteristics of a population strictly from the existing sample rather than by making parametric assumptions about the estimator. Using real data examples from per capita personal income to median preference differences between legislative committee members and the entire legislature, Mooney and Duval discuss how to apply bootstrapping when the underlying sampling distr... (Læs mere)