Rejoinder: Conditional Growth Charts
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Rejoinder: Conditional Growth Charts [math.ST/0702634]
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Discussion: Conditional growth charts
Discussion of Conditional growth charts [math.ST/0702634]
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Discussion of Conditional growth charts [math.ST/0702634]
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Discussion: Conditional growth charts
Discussion of Conditional growth charts [math.ST/0702634]
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Discussion paper. Conditional growth charts
Growth charts are often more informative when they are customized per subject, taking into account prior measurements and possibly other covariates of the subject. We study a global semiparametric quantile regression model that has the ability to estimate conditional quantiles without the usual distributional assumptions. The model can be estimated from longitudinal reference data with irregular measurement times and with some level of robustness against outliers, and it is also flexible for including covariate information. We propose a rank score test for large sample inference on covariates,…
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Guaranteed Conditional Performance of Control Charts via Bootstrap Methods
To use control charts in practice, the in-control state usually has to be estimated. This estimation has a detrimental effect on the performance of control charts, which is often measured for example by the false alarm probability or the average run length. We suggest an adjustment of the monitoring schemes to overcome these problems. It guarantees, with a certain probability, a conditional performance given the estimated in-control state. The suggested method is based on bootstrapping the data used to estimate the in-control state. The method applies to different types of control charts, and …
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