Bootstrap method and empirical process
β 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.
β¦ 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.
π SIMILAR VOLUMES
We obtain a lower bound for the rate of approximation of bootstrapped empirical processes with Brownian bridges.
We show that the bootstrap method provides valid approximations to the sampling distribution of a weighted empirical process on D[0,1] even in the cases where it fails to converge weakly. Furthermore, the result is applied to construct valid bootstrap confidence sets in such pathological cases. (~)
A comparison between empirical likelihood and bootstrap tests for a mean parameter against a series of local alternative hypotheses is made by developing Edgeworth expansions for the power functions of the two tests. For univariate and bivariate cases, practical rules are proposed for choosing the m