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investigate the sensitivity of the p-value to the missing scheme and to the presence of outliers. …
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When dealing with situations in which the responses are discrete or show some type of asymmetry, the linear model is not appropriate to establish the relation between the responses and the covariates. Generalized linear models serve this purpose, since they allow one to model the mean of the...
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In the finite-dimensional setting, Li and Chen (1985) proposed a method for principal components analysis using projection-pursuit techniques. This procedure was generalized to the functional setting by Bali et al. (2011), where also different penalized estimators were defined to provide smooth...
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the values for the other observations in the sample. These extreme observations, or outliers, often have a large impact on …. While applied researchers are usually aware of this the detection of outliers and their appropriate treatment is often dealt … programs for robust methods that can be used in the presence of outliers. Our paper intents to improve on this situation by …
Persistent link: https://www.econbiz.de/10014609357
the sample. These extreme observations, or outliers, often have a large impact on the results of statistical analyses … this, the detection of outliers and their appropriate treatment is often dealt with in a rather sloppy manner. One reason … the presence of outliers. Our paper intents to improve on this situation by presenting a highly robust method for …
Persistent link: https://www.econbiz.de/10010269751