Measurements of the distance between two holes cut into 50 steel sheets are saved as values of the variable DISTANCE in the following data set: data sheets; input distance @@; label distance='Hole ...

Quantile estimation lies at the heart of statistical modelling when characterising the distributional properties of data beyond central tendency. By estimating the pth quantile—namely the value below ...

Quantile regression offers a versatile framework for characterising the full conditional distribution of a response variable by modelling specified quantiles rather than the mean alone. This approach ...

Review challenges in the use of normality testing situations and recommendations on how to assess data distributions in the pharmaceutical development manufacturing environment Statisticians ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...