Randomly Weighting Bootstrap for Censored Regression Models
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Graphical Abstract
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Abstract
Rao and Zhao (1992) developed the random weighting method for M-estimates in regression models. In earlier papers, Fang and Zhao (2002) applied this method in censored regression models with the design points being random. In this paper we extend these results to the situation that the design points are non-random.
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