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Consistent estimators in random censorship semiparametric models 被引量:3

Consistent estimators in random censorship semiparametric models
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摘要 For the fixed design regression modelwhen Y, are randomly censored on the right, the estimators of unknown parameter and regression function g from censored observations are defined in the two cases .where the censored distribution is known and unknown, respectively. Moreover, the sufficient conditions under which these estimators are strongly consistent and pth (p>2) mean consistent are also established. For the fixed design regression modelwhen Y, are randomly censored on the right, the estimators of unknown parameter and regression function g from censored observations are defined in the two cases .where the censored distribution is known and unknown, respectively. Moreover, the sufficient conditions under which these estimators are strongly consistent and pth (p>2) mean consistent are also established.
作者 王启华
出处 《Science China Mathematics》 SCIE 1996年第2期163-176,共14页 中国科学:数学(英文版)
基金 Project supported by the Doctoral Programme Science Foundation and the National Natural Science Foundation of China.
关键词 RANDOM CENSORSHIP semiparameter regression MODEL STRONG CONSISTENCY PTH mean consistency. random censorship, semiparameter regression model, strong consistency, pth mean consistency.
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