Statistical diagnosis for non-parametric regression models with random right censorship based on the empirical likelihood method

Shuling Wang, Xiaoyan Wang and Jiangtao Dai

Journal of Applied Statistics, 2015, vol. 42, issue 6, 1367-1373

Abstract: In this paper, we consider statistical diagnostic for non-parametric regression models with right-censored data based on empirical likelihood. First, the primary model is transformed to the non-parametric regression model. Then, based on empirical likelihood methodology, we define some diagnostic statistics. At last, some simulation studies show that our proposed procedure can work fairly well.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:42:y:2015:i:6:p:1367-1373

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DOI: 10.1080/02664763.2014.999656

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