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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/276

Title: Bootstrapping multiparameter models, with applications to clustered binary data
Authors: Aerts, Marc
Claeskens, Gerda
Molenberghs, Geert
Keywords: Computer intensive
Clustered data
Non and semiparametric methods
Categorical data
Issue Date: 2000
Citation: Núñez-Antón, Vicente & Ferreira, Eva (Ed.) Proceedings of the 15th International Workshop on Statistical Modelling. p. 125-130.
Abstract: It is shown how a one-step semiparametric bootstrap procedure can be applied to multiparameter models in different situations: for testing hypotheses, for the construction of simultaneous confidence intervals based on local polynomial smoothers and for improved estimation and bias correction. The method is illustrated on models for clustering binary data
URI: http://hdl.handle.net/1942/276
Link to publication: http://www.statmod.org/files/proceedings/iwsm2000_proceedings.pdf
ISBN: 8475852173
Category: C1
Type: Proceedings Paper
Appears in Collections: Research publications

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