In statistics and probability, quantiles are cut points dividing the range of a probability distribution into continuous intervals with equal probabilities...

predictor variables, quantile regression estimates the conditional median (or other quantiles) of the response variable. Quantile regression is an extension...

In probability and statistics, the quantile function outputs the value of a random variable such that its probability is less than or equal to an input...

plot (quantile–quantile plot) is a probability plot, a graphical method for comparing two probability distributions by plotting their quantiles against...

In statistics, quantile normalization is a technique for making two distributions identical in statistical properties. To quantile-normalize a test distribution...

A quantile-parameterized distribution (QPD) is a probability distributions that is directly parameterized by data. They were created to meet the need for...

Quantile Regression Averaging (QRA) is a forecast combination approach to the computation of prediction intervals. It involves applying quantile regression...

function (quantile function) of the logistic distribution is a generalization of the logit function. Its derivative is called the quantile density function...

approach to normalization of probability distributions is quantile normalization, where the quantiles of the different measures are brought into alignment...

{e^{-n^{2}/2}}{n{\sqrt {\pi /2}}}}} . The quantile function of a distribution is the inverse of the cumulative distribution function. The quantile function of the standard...