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Local and global structure of empirical processes

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Seminar on Empirical Processes

Part of the book series: DMV Seminar ((OWS,volume 9))

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Abstract

Most of the results of the type to be discussed in the following two sections need facts presented in the first paragraph:

  1. (i)

    Markov and Martingale properties of empirical d.f.’s

  2. (ii)

    Markov and Martingale properties of order statistics

  3. (iii)

    Poisson representations

Results of global type are concerned with boundary crossing probabilities of empirical d.f.’s. These are useful in goodness-of-fit tests. Results of local type measure the oscillation behavior of αn. These may be applied, e.g., in analysing quantiles or in nonparametric density and regression function estimation.

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References (and further reading)

  • Bahadur, R.R. (1966). A note on quantiles in large samples. Ann. Math. Statist. 37, 577–580.

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  • Birnbaum, Z.W. and Tingey, F.H. (1951). One-sided confidence contours for probability distribution functions. Ann. Math. Statist. 22, 592–596.

    Article  Google Scholar 

  • Chung, K.L. (1949). An estimate concerning the Kolmogorov limit distribution. Trans. Amer. Math. Soc. 67, 36–50.

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  • Dvoretzky, A., Kiefer, J. and Wolfowitz, J. (1956). Asymptotic minimax character of the sample distribution function and of the classical multinomial estimator. Ann. Math. Statist. 27, 642–669.

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  • Kiefer, J. (1970). Deviations between the sample quantile process and the sample df. In Nonparametric Techniques in Statistical Inference (M.L. Puri, ed.) 299-319. Cambridge Univ. Press.

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  • Shorack, G.R. and Wellner, J.A. (1982). Limit theorems and inequalities for the uniform empirical process indexed by intervals. Ann. Prob. 10, 639–652.

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  • Smirnov, N.V. (1944). An approximation to the distribution laws of random quantities determined by empirical data. Uspehi Mat. Nauk 10, 179–206.

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  • Stute, W. (1982). The oscillation behavior of empirical processes. Ann. Prob. 10, 86–107.

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  • Stute, W. (1984). The oscillation behavior of empirical processes: the multivariate case. Ann. Prob. 12, 361–379.

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© 1987 Springer Basel AG

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Gaenssler, P., Stute, W. (1987). Local and global structure of empirical processes. In: Seminar on Empirical Processes. DMV Seminar, vol 9. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-6269-1_2

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  • DOI: https://doi.org/10.1007/978-3-0348-6269-1_2

  • Publisher Name: Birkhäuser, Basel

  • Print ISBN: 978-3-7643-1921-2

  • Online ISBN: 978-3-0348-6269-1

  • eBook Packages: Springer Book Archive

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