Some improved and alternative imputation methods for finite population mean in presence of missing information

被引：16
|
作者：
Singh, Garib Nath [1 ]
Pandey, Awadhesh K. [1 ]
Sharma, Anup Kumar [2 ]
机构：
[1] Indian Sch Mines, Indian Inst Technol, Dept Math & Comp, Dhanbad, Bihar, India
[2] Natl Inst Technol Raipur, Dept Math, Raipur, Madhya Pradesh, India
来源：
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2021年 / 50卷 / 19期
关键词：
Missing data; imputation methods; auxiliary information; finite population mean; Monte Carlo simulation study; relative efficiency; ESTIMATORS;
D O I：
10.1080/03610926.2020.1713375
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
The crux of this study is to propose some modified and improved compromised imputation methods and their corresponding point estimators to estimate the population mean using information on an auxiliary variable in case of missing data problem under simple random sampling without replacement scheme. The properties of the suggested estimation procedures have been examined. Monte Carlo simulation study has been performed in order to show that the proposed class of estimators give better results in comparison to some of the existing estimators. Suitable recommendations are made to the survey practitioners.
引用
收藏
页码：4401 / 4427
页数：27
相关论文
共 50 条
  • [1] Some improved and alternative imputation methods for finite population mean in presence of missing information
    Singh, Garib Nath
    Pandey, Awadhesh K.
    Sharma, Anup Kumar
    [J]. Communications in Statistics - Theory and Methods, 2021, 50 (19): : 4401 - 4427
  • [2] Estimation of Population Mean Using Some Improved Imputation Methods for Missing Data in Sample Surveys
    Pandey, M. K.
    Singh, G. N.
    Zaman, Togla
    [J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2024,
  • [3] New Imputation Method for Estimating Population Mean in the Presence of Missing Data
    Lawson, Nuanpan
    [J]. LOBACHEVSKII JOURNAL OF MATHEMATICS, 2023, 44 (09) : 3740 - 3748
  • [4] New Imputation Method for Estimating Population Mean in the Presence of Missing Data
    Nuanpan Lawson
    [J]. Lobachevskii Journal of Mathematics, 2023, 44 : 3740 - 3748
  • [5] Improved estimators for mean estimation in presence of missing information
    Pandey, Awadhesh K.
    Singh, G. N.
    Sayed-Ahmed, Neveen
    Abu-Zinadah, Hanaa
    [J]. ALEXANDRIA ENGINEERING JOURNAL, 2021, 60 (06) : 5977 - 5990
  • [6] New Chain Imputation Methods for Estimating Population Mean in the Presence of Missing Data Using Two Auxiliary Variables
    Shashi Bhushan
    Abhay Pratap Pandey
    [J]. Communications in Mathematics and Statistics, 2023, 11 : 325 - 340
  • [7] New Chain Imputation Methods for Estimating Population Mean in the Presence of Missing Data Using Two Auxiliary Variables
    Bhushan, Shashi
    Pandey, Abhay Pratap
    [J]. COMMUNICATIONS IN MATHEMATICS AND STATISTICS, 2023, 11 (02) : 325 - 340
  • [8] Optimal imputation of missing data for estimation of population mean
    Bhushan, Shashi
    Pandey, Abhay Pratap
    [J]. JOURNAL OF STATISTICS & MANAGEMENT SYSTEMS, 2016, 19 (06): : 755 - 766
  • [9] Improved methods for the imputation of missing data by nearest neighbor methods
    Tutz, Gerhard
    Ramzan, Shahla
    [J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2015, 90 : 84 - 99
  • [10] An Improved Procedure of Estimating the Finite Population Mean Using Auxiliary Information in the Presence of Random Non Response
    Tailor, Rajesh
    Sharma, Balkishan
    Singh, Housila P.
    [J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2015, 44 (06) : 1196 - 1209
12345