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http://hdl.handle.net/1942/16123
Title: | Model averaging quantiles for censored data | Authors: | NYSEN, Ruth AERTS, Marc FAES, Christel |
Issue Date: | 2013 | Publisher: | Istituto Poligrafico Europeo | Source: | Muggeo, Vito M.R.; Capursi, Vincenza; Boscaino, Giovanni; Lovison, Gianfranco (Ed.). Proceedings of the 28th International Workshop on Statistical Modelling Volume 1, p. 307-312 | Abstract: | Quantiles are of interest in food safety data dealing with a limit of detection. The limit of detection introduces a lot of uncertainty in the left tail of the underlying distribution, making quantile estimation for this part of the distribution difficult. Therefore we fit a model to the data and derive the model-based estimate for the quantile. Since the true distribution is unknown, model averaging is used to combine information from a set of models. In this paper we discuss two approaches to use model averaging for quantiles. The methods are applied to a data example and compared in a simulation study. The effect of an increasing percentage of censoring on the estimates is explored. | Keywords: | Censoring; Model averaging; Quantiles | Document URI: | http://hdl.handle.net/1942/16123 | ISBN: | 978-88-96251-47-8 | Category: | C1 | Type: | Proceedings Paper |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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NysenAertsFaes2013.pdf | Peer-reviewed author version | 241.37 kB | Adobe PDF | View/Open |
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