Author(s)

Shuling Wang, Xiaohong Deng, Lin Zheng

Department of Fundamental Course, Air Force Logistics College, Xuzhou, China.
School of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, China.

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.

Random Right Censorship, Empirical Likelihood, Outliers, Influence Analysis

Wang, S. , Deng, X. and Zheng, L. (2014) Statistical Diagnosis for General Transformation Model with Right Censored Data Based on Empirical Likelihood. Natural Science, 6, 741-751. doi: 10.4236/ns.2014.610074.