期刊名称：International Journal of Advanced Statistics and Probability
电子版ISSN：2307-9045
出版年度：2014
卷号：2
期号：2
页码：48-55
DOI：10.14419/ijasp.v2i2.2291
出版社：Journal of Advanced Computer Science & Technology
摘要：This paper is about a comparison study among the performances of variance estimators of certain parameters, usingresampling techniques such as bootstrap and jackknife. The comparison will be made among several situations ofsimulated censored data, relating the observed values of estimates to real values. For real data, it will be consideredthe dataset Stanford heart transplant, analyzed by Cho et al. (2009) using the model of Cox regression (Cox, 1972)for adjustment. It is noted that the Jackknife residual is ecient to analyze inuential data points in the responsevariable. Keywords: bootstrap, Jackknife, simulation, Cox Regression Model, censored data.
