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 distribution of the statistics...

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Bootstrapping: A Nonparametric Approach to Statistical Inference (Quantitative Applications in the Social Sciences)

Mooney, Christopher Z.; Duval, Robert D.

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