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Introduction to Probability and Statistics for Data Science with R

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Chapter 17: Estimating the Standard Error: Analytic Approximations, the Jackknife, and the Bootstrap

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Chapter 17: Estimating the Standard Error: Analytic Approximations, the Jackknife, and the Bootstrap

pp. 645-683

Authors

Steven E. Rigdon
, Saint Louis University, Missouri,
Ronald D. Fricker, Jr
, Virginia Polytechnic Institute and State University,
Douglas C. Montgomery
, Arizona State University
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Summary

In Chapter 9 we discussed point estimation for a parameter or a vector of parameters. In Chapters 10 and 11, on confidence intervals and hypothesis testing, we needed the idea of the standard error of an estimator.

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