Modified Quantile Regression for Modeling the Low Birth Weight

This study aims to identify the best model of low birth weight by applying and comparing several methods based on the quantile regression method's modification. The birth weight data is violated with linear model assumptions; thus, quantile approaches are used. The quantile regression is adjust...

書誌詳細
出版年:	Frontiers in Applied Mathematics and Statistics
主要な著者:	Ferra Yanuar, Hazmira Yozza, Aidinil Zetra
フォーマット:	論文
言語:	英語
出版事項:	Frontiers Media S.A. 2022-06-01
主題:	low birth weight Bayesian quantile regression Bayesian Lasso quantile regression Bayesian Adaptive Lasso quantile regression quantile regression
オンライン･アクセス:	https://www.frontiersin.org/articles/10.3389/fams.2022.890028/full

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