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Ultrahigh-dimensional sufficient dimension reduction for censored data with measurement error in covariates
Journal of Applied Statistics ( IF 1.2 ) Pub Date : 2020-12-08 Li-Pang Chen
Journal of Applied Statistics ( IF 1.2 ) Pub Date : 2020-12-08 Li-Pang Chen
(2020). Ultrahigh-dimensional sufficient dimension reduction for censored data with measurement error in covariates. Journal of Applied Statistics. Ahead of Print.
中文翻译:
用于检查数据的超高维充分降维,协变量中存在测量误差
(2020)。用于检查数据的超高维足够大的约简,且协变量中存在测量误差。应用统计杂志。提前印刷。
更新日期:2020-12-09
中文翻译:
用于检查数据的超高维充分降维,协变量中存在测量误差
(2020)。用于检查数据的超高维足够大的约简,且协变量中存在测量误差。应用统计杂志。提前印刷。