We study censored quantile regression with covariates measured with errors. We propose a composite quantile objective function based on inverse censoring-probability weighting, and an averaging ...

Analyzing the tail quantiles of a response distribution is sometimes more important than analyzing the mean in biomarker studies. Inferences in a quantile regression are complicated when there exist a ...

NFL Commanders are ripe for regression. Then again, they have Jayden Daniels. It has been popular to compare Washington to the Houston Texans, who thrived in C.J. Stroud’s rookie season but took ...

Fantasy football rankings 2025: Breakouts, sleepers, busts from model which nailed C.J. Stroud's tough season SportsLine simulated the new NFL season 10,000 times to help form your 2025 Fantasy ...

The line of best fit is an output of regression analysis that represents the relationship between two or more variables in a dataset.

Fantasy football rankings 2025: Busts from model that was all over Raheem Mostert's challenging season SportsLine simulated the new NFL season 10,000 times and identified Fantasy football busts ...

The coefficient of determination is used in statistical analysis to assess how well a model explains and predicts future outcomes. It's more commonly known as r-squared.