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Bootstrapping: A Nonparametric Approach to Statistical Inference |
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Comment from the Stata technical groupBootstrapping: A Nonparametric Approach to Statistical Inference, by C. Z. Mooney and R. D. Duval, provides one of the best introductions to the bootstrap you are likely to encounter. Although it was written for social science researchers, anyone familiar with classical statistical procedures will also find this text useful. Included are discussions of bias and variance estimates, confidence intervals, and statistical inference. The authors also discuss results from Monte Carlo simulations, empirically reassuring the reader that the bootstrap works as advertised. |
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Table of contentsView table of contents >> |
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