Abstract
Applications of the jackknife and the bootstrap to various nonlinear parametric (or semiparametric) models, nonparametric curve estimation problems, and multivariate analysis are discussed in this chapter. We mainly focus on the jackknife variance estimation, bootstrap distribution estimation, bootstrap confidence sets, cross-validation (jackknife) and bootstrap model selection, bandwidth (smoothing parameter) selection, and misclas-sification rate estimation. Other applications, such as the jackknife bias estimation and bias reduction, and the bootstrap variance estimation, can be similarly discussed but are omitted.
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© 1995 Springer Science+Business Media New York
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Shao, J., Tu, D. (1995). Applications to Nonlinear, Nonparametric, and Multivariate Models. In: The Jackknife and Bootstrap. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-0795-5_8
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DOI: https://doi.org/10.1007/978-1-4612-0795-5_8
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-6903-8
Online ISBN: 978-1-4612-0795-5
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