TITLE:
Statistical Diagnosis for General Transformation Model with Right Censored Data Based on Empirical Likelihood
AUTHORS:
Shuling Wang, Xiaohong Deng, Lin Zheng
KEYWORDS:
Random Right Censorship, Empirical Likelihood, Outliers, Influence Analysis
JOURNAL NAME:
Natural Science,
Vol.6 No.10,
June
18,
2014
ABSTRACT: 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.