Open AccessInvestigating Performance of Composite Quantile Regression with and without Penalization
Author(s) -
M. T Nwakuya,
E. C Nduka
Publication year - 2022
Publication title -
scholars journal of physics, mathematics and statistics
Language(s) - English
Resource type - Journals
eISSN - 2393-8064
pISSN - 2393-8056
DOI - 10.36347/sjpms.2022.v09i05.002
Subject(s) - quantile , quantile regression , statistics , mathematics , mean squared error , regression , lasso (programming language) , regression analysis , linear regression , sample size determination , econometrics , computer science , world wide web