MissingatRandom相关论文
Empirical Likelihood of Quantile Difference with Missing Response When High-dimensional Covariates A
We,in this paper,investigate two-sample quantile difference by empirical likelihood method when the responses with high-......
Quantile regression for partially linear varying-coefficient model with censoring indicators missing
In this paper,we focus on the partially linear varying-coefficient quantile regression model when the data are right cen......
In this paper,we consider functional partial linear models proposed by Lian(2011)when the response variables are missing......
High Dimensional Variable Selection for Longitudinal Data with Covariate Measurement Error and Respo
We develop a novel approach for analyzing high dimensional longitudinal data with co-variate measurement error and respo......
Utilizing individual covariate data for closed population capture–recapture models can greatly enhance the overall anal......
借助核实数据,构造了回归系数的最小二乘估计,然后用借补方法和加权借补方法估计响应变量的均值,最后证明了估计量的渐近正态性。......
Integrated Square Error of Hazard Rate Estimation for Survival Data with Missing Censoring Indicator
The problem of hazard rate estimation under right-censored assumption has been investigated extensively.Integrated squar......
