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Statistical Diagnosis for General Transformation Model with Right Censored Data Based on Empirical Likelihood

Statistical Diagnosis for General Transformation Model with Right Censored Data Based on Empirical Likelihood
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摘要 In this work, we consider statistical diagnostic for general transformation models with right censored data based on empirical likelihood. The models are a class of flexible semiparametric survival models and include many popular survival models as their special cases. Based on empirical likelihood methodologe, we define some diagnostic statistics. Through some simulation studies, we show that out proposed procedure can work fairly well. In this work, we consider statistical diagnostic for general transformation models with right censored data based on empirical likelihood. The models are a class of flexible semiparametric survival models and include many popular survival models as their special cases. Based on empirical likelihood methodologe, we define some diagnostic statistics. Through some simulation studies, we show that out proposed procedure can work fairly well.
出处 《Natural Science》 2014年第10期741-751,共11页 自然科学期刊(英文)
关键词 RANDOM RIGHT CENSORSHIP Empirical LIKELIHOOD OUTLIERS Influence Analysis Random Right Censorship Empirical Likelihood Outliers Influence Analysis
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