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Bootstrap method and empirical process

✍ Scribed by Masafumi Akahira; Kei Takeuchi


Book ID
104628167
Publisher
Springer Japan
Year
1991
Tongue
English
Weight
570 KB
Volume
43
Category
Article
ISSN
0020-3157

No coin nor oath required. For personal study only.

✦ Synopsis


In this paper we consider the sampling properties of the bootstrap process, that is, the empirical process obtained from a random sample of size n (with replacement) of a fixed sample of size n of a continuous distribution. The cumulants of the bootstrap process are given up to the order n -1 and their unbiased estimation is discussed. Furthermore, it is shown that the bootstrap process has an asymptotic minimax property for some class of distributions up to the order n -1/2.


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