Bootstrapping generalizedU-processes andV-processes and their applications in projection pursuit
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Abstract
In this paper, we study bootstrap approximation for generalizedU-processes (GUP) indexed by a class of functions. Under mild conditions we obtain that the asymptotic distributions of bootstrapping generalizedU-processes (BGUP) are the same as those of GUP almost surely. As a result, the asymptotic properties of bootstrap approximation for PP generalizedU-processes (BPPGUP) are obtained. In addition we have derived bootstrap approximation for generalizedV-processes (GVP). Thus, we can use BGUP or bootstrapping GVP (BGVP) to simulate GUP and GVP.
Key words
Bootstrap projection pursuit (PP) U-processes asymptotic distributionPreview
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References
- [1]R.J. Serfling. Approximation Theorems of Mathematical Statistics. John Wiley and Sons. Inc., 1980.Google Scholar
- [2]E.L. Lehmann. Consistency And Unbiasedness of Certain Nonparametric Tests.Ann. Math. Statist., 1951, 22: 165–179.Google Scholar
- [3]P.K. Sen. Almost Sure Convergence of GeneralizedU-Statistics.Ann. Probab., 1977, 5: 287–290.Google Scholar
- [4]D. Nolan and D. Pollard. Functional Limit Theorems forU-Processes.Ann. Probab., 1988, 16: 1291–1298.Google Scholar
- [5]X.L. Tang and G.Y. Li. PPU-Statistics and Their Applications. In Probability and Statistics, Jiang Ze-Pei, Yan Shi-Jian, Cheng Ping and Wu Rong eds., World Scientific Publishing Co. of Singapore, 1992, 209–227.Google Scholar
- [6]B. Efron. Bootstrap Methods: Another Look at The Jacknife.Ann. Statist., 1979, 7: 1–26.Google Scholar
- [7]D. Pollard. Convergence of Stochastic Processes. Springer-Verlag New York Inc., 1984.Google Scholar
- [8]W. Hoeffding. Probability Inequalities for Sums of Bounded Random Variables.JASA, 1963, 58: 13–30.Google Scholar
- [9]R.E. Bellman. Adaptive Control Processes. Princeton University Press, Princeton, New York, 1961.Google Scholar
- [10]P.J. Huber. Projection Pursuit.Ann. Statist., 1985, 13: 435–475.Google Scholar
- [11]R. Beran and P.W. Millar. Confidence Sets for A Multivariate Distribution.Ann. Statist., 1986, 14: 431–443.Google Scholar
- [12]E. Ginne and J. Zinne. Bootstrapping Empirical Processes.Ann. Probab., 1990, 2: 851–869.Google Scholar
- [13]M.G. Kendall. A New Measure of Rank Correlation.Biometrica, 1938, 30: 81–93.Google Scholar
- [14]D.X. Zhang and G.Y. Li. The Central Limit Theorems for Bootstrapping GeneralizedU-Processes.Chinese Science Bulletin, 1994, 14: 1761–1765.Google Scholar
Copyright information
© Science Press, Beijing, China and Allerton Press, Inc., New York, U.S.A. 1996