Speaker:
Jim Helmreich
Title:
The Bootstrap, Jackknife and All That
A Brief Introduction to Computationally Intense Nonparametric Techniques of Statistical Inference
Abstract:
The bootstrap and jackknife are resampling techniques that use large numbers of repetitive computations to estimate the sampling distribution of various statistics. This is in lieu of the traditional approach of using various (unrealistic?) assumptions about the distribution of populations in question. We discuss these techniques, indicate the ease of their computer implementation, and highlight some of the benefits and limitations of the procedures.
Audience:
This talk may be of interest to those who use statistical analysis in their research, and especially to those who do research in the sciences. Part of the talk will be accessible to anyone who has studied Introductory Statistics.
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