Longitudinal Survey, Nonmonotone, Nonresponse, Imputation, Nonparametric Regression

作     者：Sarah Pyeye Charles K. Syengo Leo Odongo George O. Orwa Romanus O. Odhiambo Sarah Pyeye;Charles K. Syengo;Leo Odongo;George O. Orwa;Romanus O. Odhiambo

作者机构：Pan African University Institute for Basic Sciences Technology and Innovation Nairobi Kenya Department of Statistics and Actuarial Science Kenyatta University Nairobi Kenya Department of Statistics and Actuarial Science Jomo Kenyatta University of Agriculture and Technology Nairobi Kenya 

出 版 物：《Open Journal of Statistics》 (统计学期刊（英文）)

年 卷 期：2016年第6卷第6期

页      面：1138-1154页

学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学] 

主　　题：Longitudinal Survey Nonmonotone Nonresponse Imputation Nonparametric Regression 

摘      要：The study focuses on the imputation for the longitudinal survey data which often has nonignorable nonrespondents. Local linear regression is used to impute the missing values and then the estimation of the time-dependent finite populations means. The asymptotic properties (unbiasedness and consistency) of the proposed estimator are investigated. Comparisons between different parametric and nonparametric estimators are performed based on the bootstrap standard deviation, mean square error and percentage relative bias. A simulation study is carried out to determine the best performing estimator of the time-dependent finite population means. The simulation results show that local linear regression estimator yields good properties.