Statistical Inference for the Heteroscedastic Partially Linear Varying-Coefficient Errors-in-Variables Model with Missing Censoring Indicators

In this paper, we focus on heteroscedastic partially linear varying-coefficient errors-in-variables models under right-censored data with censoring indicators missing at random. Based on regression calibration, imputation, and inverse probability weighted methods, we define a class of modified profi...

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Veröffentlicht in:	Discrete dynamics in nature and society 2021-06, Vol.2021, p.1-26, Article 1141022
Hauptverfasser:	Zou, Yuye, Wu, Chengxin
Format:	Artikel
Sprache:	eng
Schlagworte:	Asymptotic properties Coefficients Data analysis Errors Estimators Indicators Likelihood ratio Mathematical models Mathematics Mathematics, Interdisciplinary Applications Multidisciplinary Sciences Normality Parameter estimation Parameter modification Physical Sciences Regression analysis Science & Technology Science & Technology - Other Topics Statistical analysis Statistical inference Survival analysis Variables Variance
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