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An alternative method for constructing confidence intervals from M-estimates in linear models

Publication at Faculty of Mathematics and Physics |
2006

Abstract

We investigate an alternative way of constructing a confidence interval based on M-estimator for a single parameter in a linear model. We compare this confidence interval with a traditional (Wald type) confidence interval theoretically as well as by the means of a Monte-Carlo experiment.