TY - JOUR ID - 22402 TI - L-Moments and calibration-based variance estimators under double stratified random sampling scheme: Application of Covid-19 pandemic JO - Scientia Iranica JA - SCI LA - en SN - 1026-3098 AU - Shahzad, U. AU - Ahmad, I. AU - Mufrah Almanjahie, I. AU - Hanif, M. AU - Al-Noor, N. H. AD - - Department of Mathematics and Statistics, International Islamic University, Islamabad 46000, Pakistan - Department of Mathematics and Statistics - PMAS-Arid Agriculture University, Rawalpindi 46300, Pakistan AD - Department of Mathematics and Statistics, International Islamic University, Islamabad 46000, Pakistan AD - - Department of Mathematics, College of Science, King Khalid University, Abha 62529, Saudi Arabia - Statistical Research and Studies Support Unit, King Khalid University, Abha 62529, Saudi Arabia AD - Department of Mathematics and Statistics - PMAS-Arid Agriculture University, Rawalpindi 46300, Pakistan AD - Department of Mathematics, College of Science, Mustansiriyah University, Baghdad 10011, Iraq Y1 - 2023 PY - 2023 VL - 30 IS - 2 SP - 814 EP - 821 KW - Extreme observations KW - Variance estimation KW - L-moments KW - Calibration KW - Double stratified random sampling DO - 10.24200/sci.2021.56853.4942 N2 - The presence of extreme events gives rise to outrageous results regarding population parametersand their estimates using traditional moments. Traditional moments are usually influenced by extremeobservations. In this paper, we propose some new calibration estimators under L-Moments scheme for variance which is one of the most important population parameters. Some suitable calibration constraints under double stratified random sampling are also defined for these estimators. Our proposed estimators based on L-Moments are relatively more robust in presence of extreme values. The empirical efficiency of proposed estimators is also calculated through simulation. Covid-19 pandemic data from January 22, 2020, to August 23, 2020, is considered for simulation study. UR - https://scientiairanica.sharif.edu/article_22402.html L1 - https://scientiairanica.sharif.edu/article_22402_74a9766f79784646d9b7b1d1a645c5ef.pdf ER -