Abstract
In this and in the next chapter we will study applications of bootstrap in nonparametric density estimation. For other applications of bootstrap in nonparametric density estimation see Hall (1990e). We consider the following setup.
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© 1992 Springer-Verlag New York, Inc.
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Mammen, E. (1992). A bootstrap success story: Using nonparametric density estimates in k — sample problems. In: When Does Bootstrap Work?. Lecture Notes in Statistics, vol 77. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2950-6_4
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DOI: https://doi.org/10.1007/978-1-4612-2950-6_4
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-97867-3
Online ISBN: 978-1-4612-2950-6
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