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LAD estimation for nonlinear regression models with randomly censored data

✍ Scribed by Zhou Xiuqing; Wang Jinde


Publisher
SP Science China Press
Year
2005
Tongue
English
Weight
231 KB
Volume
48
Category
Article
ISSN
1674-7283

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We consider the transformation model which is a generalization of Lehmann alternatives model. This model contains a parameter 0 and a nonparametric part F1 which is a distribution function. We propose a kind of M-estimator of 8 based on ranks in the presence of random censoring. It is nonparametric