Open AccessSemi parametric Estimators for Quantile Model via LASSO and SCAD with Missing Data
Author(s) -
Aws Adnan Al-Tai,
Qutaiba N. Nayef Al-Kazaz
Publication year - 2022
Publication title -
mağallaẗ al-ʿulūm al-iqtiṣādiyyaẗ wa-al-idāriyyaẗ
Language(s) - English
Resource type - Journals
eISSN - 2518-5764
pISSN - 2227-703X
DOI - 10.33095/jeas.v28i133.2351
Subject(s) - missing data , estimator , mathematics , imputation (statistics) , scad , quantile , statistics , mean squared error , quantile regression , lasso (programming language) , smoothing , kernel smoother , nonparametric regression , kernel method , computer science , artificial intelligence , psychology , psychiatry , myocardial infarction , world wide web , radial basis function kernel , support vector machine