Quantile-based robust Kibria–Lukman estimator for linear regression model to combat multicollinearity and outliers: Real life applications using T20 cricket sports and anthropometric data

Danish Wasim; Muhammad Suhail; Sajjad Ahmad Khan; Maha Shabbir; Fuad A. Awwad; Emad A.A. Ismail; Hijaz Ahmad; Amjad Ali

doi:10.1016/j.kjs.2024.100336

Q1 2025

Quantile-based robust Kibria–Lukman estimator for linear regression model to combat multicollinearity and outliers: Real life applications using T20 cricket sports and anthropometric data

Danish Wasim · Muhammad Suhail · Sajjad Ahmad Khan · Maha Shabbir · Fuad A. Awwad · Emad A.A. Ismail · Hijaz Ahmad · Amjad Ali

10.1016/j.kjs.2024.100336 383 Views 7 Citations

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Cite this Article (APA)

Danish, W., Muhammad, S., Sajjad, A. K., Maha, S., Fuad, A. A., Emad, A. I., Hijaz, A., Amjad, A. (2025). Quantile-based robust Kibria–Lukman estimator for linear regression model to combat multicollinearity and outliers: Real life applications using T20 cricket sports and anthropometric data. Kuwait Journal of Science. https://doi.org/10.1016/j.kjs.2024.100336