Asymptotic results for hybrids of empirical and partial sums processes
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DOI: 10.1007/s00362-013-0557-3
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- Zhang, Yong & Yang, Xiao-Yun, 2008. "Precise asymptotics in the law of the iterated logarithm and the complete convergence for uniform empirical process," Statistics & Probability Letters, Elsevier, vol. 78(9), pages 1051-1055, July.
- Horváth, Lajos & Kokoszka, Piotr & Steinebach, Josef, 2000. "Approximations for weighted bootstrap processes with an application," Statistics & Probability Letters, Elsevier, vol. 48(1), pages 59-70, May.
- Hisashi Tanizaki & Shigeyuki Hamori & Yoichi Matsubayashi, 2006. "On least-squares bias in the AR(p) models: Bias correction using the bootstrap methods," Statistical Papers, Springer, vol. 47(1), pages 109-124, January.
- Erich Haeusler & David M. Mason, 1999. "Weighted Approximations to Continuous Time Martingales with Applications," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 26(2), pages 281-295, June.
- Gut, Allan & Spataru, Aurel, 2003. "Precise asymptotics in some strong limit theorems for multidimensionally indexed random variables," Journal of Multivariate Analysis, Elsevier, vol. 86(2), pages 398-422, August.
- Diebolt, Jean & Zuber, Jacques, 1999. "Goodness-of-fit tests for nonlinear heteroscedastic regression models," Statistics & Probability Letters, Elsevier, vol. 42(1), pages 53-60, March.
- Jamel Jouini, 2010. "Bootstrap methods for single structural change tests: power versus corrected size and empirical illustration," Statistical Papers, Springer, vol. 51(1), pages 85-109, January.
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- Nour-Eddine Berrahou & Salim Bouzebda & Lahcen Douge, 2024. "The Bahadur Representation for Empirical and Smooth Quantile Estimators Under Association," Methodology and Computing in Applied Probability, Springer, vol. 26(2), pages 1-37, June.
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More about this item
Keywords
Empirical processes; Partial sums; Gaussian process; Strong approximations; Weighted bootstrap processes; Precise asymptotics; Complete moment convergence; Baum–Katz; Convergence rates; Primary: 62G30; 60F17;All these keywords.
JEL classification:
Statistics
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