A predictive estimator of finite population proportion despite missing data

被引：1
|
作者：
Rueda, M. [1 ]
Gonzalez, S. [1 ]
Arcos, A. [1 ]
机构：
[1] Univ Granada, Dept Stat & OR, E-18071 Granada, Spain
来源：
APPLIED MATHEMATICS AND COMPUTATION | 2014年 / 233卷
关键词：
Superpopulation models; Missing data; Auxiliary information; AUXILIARY ATTRIBUTES; RANDOM NONRESPONSE; INFORMATION; VARIANCE; RATIO; REGRESSION; MODEL;
D O I：
10.1016/j.amc.2014.01.128
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This paper considers the problem of estimating a finite population proportion when there are missing values. The prediction approach is used to define a new estimator that presents desirable efficiency properties. Simulation studies are considered to evaluate the performance of the proposed estimator via empirical relative bias and empirical relative efficiency, and favourable results are achieved. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码：1 / 9
页数：9
相关论文
共 50 条
  • [1] A Predictive Estimator of the Mean with Missing Data
    M. Rueda
    S. González
    A. Arcos
    Quality & Quantity, 2007, 41 : 201 - 217
  • [2] A predictive estimator of the mean with missing data
    Rueda, M.
    Gonzalez, S.
    Arcos, A.
    QUALITY & QUANTITY, 2007, 41 (02) : 201 - 217
  • [3] A predictive estimator of finite population mean using nonparametric regression
    Rueda, M.
    Sanchez-Borrego, I. R.
    COMPUTATIONAL STATISTICS, 2009, 24 (01) : 1 - 14
  • [4] Predictive Estimation of Finite Population Mean in Case of Missing Data Under Two-phase Sampling
    Grover, Lovleen Kumar
    Sharma, Anchal
    JOURNAL OF STATISTICAL THEORY AND APPLICATIONS, 2023, 22 (04): : 283 - 308
  • [5] A predictive estimator of finite population mean using nonparametric regression
    M. Rueda
    I. R. Sánchez-Borrego
    Computational Statistics, 2009, 24 : 1 - 14
  • [6] Bayesian predictive inference of a finite population proportion under selection bias
    Nandram, Balgobin
    Bhatta, Dilli
    Bhadra, Dhiman
    Shen, Gang
    STATISTICAL METHODOLOGY, 2013, 11 : 1 - 21
  • [7] The correlation-assisted missing data estimator
    Cannings, Timothy, I
    Fan, Yingying
    JOURNAL OF MACHINE LEARNING RESEARCH, 2022, 23 : 1 - 49
  • [8] Finite-sample performance of the robust variance estimator in the presence of missing data
    Ishii, Ryota
    Maruo, Kazushi
    Doi, Masaaki
    Gosho, Masahiko
    COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2024, 53 (06) : 2692 - 2703
  • [9] Developing Improved Predictive Estimator for Finite Population Mean Using Auxiliary Information
    Yadav, Subhash Kumar
    Mishra, Sant Sharan
    STATISTIKA-STATISTICS AND ECONOMY JOURNAL, 2015, 95 (01) : 76 - 85
  • [10] Missing Data Problem in Predictive Analytics
    Nugroho, Heru
    Surendro, Kridanto
    2019 8TH INTERNATIONAL CONFERENCE ON SOFTWARE AND COMPUTER APPLICATIONS (ICSCA 2019), 2019, : 95 - 100
12345