Robust ratio‐type estimators for finite population mean in simple random sampling: A simulation study
Author:
Affiliation:
1. Çankırı Karatekin University Faculty of Science, Department of Statistics Çankırı Turkey
2. Ondokuz Mayıs University Faculty of Science, Department of Statistics Samsun Turkey
3. Babasaheb University Bhimrao Ambedkar University Lucknow India
Publisher
Wiley
Subject
Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7273
Reference26 articles.
1. Improved ratio type estimators of population mean based on median of a study variable and an auxiliary variable;Irfan M;Hacet J Math Stat,2018
2. A new class of ratio-type estimators for improving mean estimation of nonsensitive and sensitive variables by using supplementary information
3. Estimation of coefficient of variation using linear moments and calibration approach for nonsensitive and sensitive variables
4. Utilizing L‐moments and calibration method to estimate the variance based on COVID‐19 data;Shahzad U;Fresen Environ Bull,2021
5. Outlier Robust Finite Population Estimation
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