统计与管理学院2015年学术报告第5期

【主  题】 Mean residual life models with biased sampling data

【报告人】 马慧娟   博士

 中国科技大学

【时  间】 2015年1月16日（星期五）10:00－11:00

【地  点】 上海财经大学统计与管理学院大楼1208室

【语  言】 英文

【摘  要】 Biased sampling data are common in many fields including complex surveys, labor economy, disease screening and so on. To study the relationship between the mean residual life and its associated covariates, we propose a class mean residual life models for fitting biased data. The unknown parameters are estimated by using inverse probability weighting method and extended Buckley-James estimating approach. Efficiency and robustness of the estimators are also studied. Both asymptotic properties and finite sample performance of the proposed estimators are established.