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Journal of Nonparametric Statistics Volume 4, 1994 - Issue 1
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Original Articles

Bootstrapping regression quantiles

M. Aerts Limburgs Universitair Centrum, Diepenbeek, B-3590, Belgium
,
P. Janssen Limburgs Universitair Centrum, Diepenbeek, B-3590, Belgium
&
N. Veraverbeke Limburgs Universitair Centrum, Diepenbeek, B-3590, Belgium
Pages 1-20 | Received 28 Oct 1992, Accepted 23 Oct 1993, Published online: 12 Apr 2007

Citations (9)

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Read on this site (2)

Roel Braekers & Noël Veraverbeke. (2005) Bootstrapping the conditional survival function estimator in the partial Koziol–Green model. Journal of Nonparametric Statistics 17:3, pages 299-318.
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Ingrid Van Keilegom & Noël Veraverbeke. (1997) Weak convergence of the bootstrapped conditional kaplan-meier process and its quantile process. Communications in Statistics - Theory and Methods 26:4, pages 853-869.
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Articles from other publishers (7)

Félix Camirand Lemyre & Jean-François Quessy. (2016) Multiplier bootstrap methods for conditional distributions. Statistics and Computing 27:3, pages 805-821.
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Marek Omelka, Noël Veraverbeke & Irène Gijbels. (2013) Bootstrapping the conditional copula. Journal of Statistical Planning and Inference 143:1, pages 1-23.
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An Creemers, Marc Aerts, Niel Hens & Geert Molenberghs. (2012) A nonparametric approach to weighted estimating equations for regression analysis with missing covariates. Computational Statistics & Data Analysis 56:1, pages 100-113.
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Roel Braekers & Noël Veraverbeke. (2008) A conditional Koziol–Green model under dependent censoring. Statistics & Probability Letters 78:7, pages 927-937.
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Ingrid Van Keilegom & Noël Veraverbeke. (1998) Bootstrapping quantiles in a fixed design regression model with censored data. Journal of Statistical Planning and Inference 69:1, pages 115-131.
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J.T.F. Keurentjes, L.J.W.M. Nabuurs & E.A. Vegter. (1996) Liquid membrane technology for the separation of racemic mixtures. Journal of Membrane Science 113:2, pages 351-360.
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J. Fan & I. GijbelsJ. Fan & I. Gijbels. 1994. Local Polynomial Modelling and its Applications. Local Polynomial Modelling and its Applications 159 216 .

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