Abstract
The bootstrap is a very convenient and appealing tool for statistical analysis, however, theoretical and/or empirical confirmation should be made of its suitability for the problem at hand. Also, it is important to know the relative performance of the bootstrap versus other existing methods. A general theory for the bootstrap distribution and variance estimation for a given statistic is presented in this chapter. The more delicate problem of constructing bootstrap confidence sets and hypothesis tests will be treated in the next chapter.
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© 1995 Springer Science+Business Media New York
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Shao, J., Tu, D. (1995). Theory for the Bootstrap. In: The Jackknife and Bootstrap. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-0795-5_3
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DOI: https://doi.org/10.1007/978-1-4612-0795-5_3
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-6903-8
Online ISBN: 978-1-4612-0795-5
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