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Author

F. N. Abdulahad

2 papers indexed here

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Open access Sep 2026

Quantile ridge beta regression model and Bayesian regularized quantile beta regression for solving the skewness and improving the accuracy of the model selection in bounded data

Skewed distributions have an additional shape parameter that represents the direction of the asymmetry in the density. If skewness in observations is ignored, statistical inferences based on symmetric distributions may yield biased or even misleading conclusions. Bayesian regularized quantile regression (BRQR) is effec...

F. N. Abdulahad, M. K. M. Ali, R. A. Shamim · 0 citations
Open access Aug 2026

Bayesian Regularized Quantile Beta Regression for Robust Estimation in Skewed Bounded Data

Skewed distributions often contain shape parameters that determine the direction and magnitude of asymmetry. In other cases, skewness arises naturally from the form of the distribution. Ignoring skewness when modeling with symmetric distributions may yield biased or misleading inferences. Bayesian regularized quantile...

F. N. Abdulahad, M. K. Majahar Ali, Alaa Adnan · 0 citations

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