کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1146325 957504 2010 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Semiparametric inference for transformation models via empirical likelihood
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات آنالیز عددی
پیش نمایش صفحه اول مقاله
Semiparametric inference for transformation models via empirical likelihood
چکیده انگلیسی

Recent advances in the transformation model have made it possible to use this model for analyzing a variety of censored survival data. For inference on the regression parameters, there are semiparametric procedures based on the normal approximation. However, the accuracy of such procedures can be quite low when the censoring rate is heavy. In this paper, we apply an empirical likelihood ratio method and derive its limiting distribution via UU-statistics. We obtain confidence regions for the regression parameters and compare the proposed method with the normal approximation based method in terms of coverage probability. The simulation results demonstrate that the proposed empirical likelihood method overcomes the under-coverage problem substantially and outperforms the normal approximation based method. The proposed method is illustrated with a real data example. Finally, our method can be applied to general UU-statistic type estimating equations.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Multivariate Analysis - Volume 101, Issue 8, September 2010, Pages 1846–1858
نویسندگان
,