The observation quantile level of a valid observation, , is defined as
, where
denotes the cumulative distribution function (CDF) for the y’s underlying distribution conditional on
. For the CDF that is continuous at y, the equation
holds because the quantile function is inversely related to the CDF. Ideally, if
for a unique
and some quantile-regression optimal solution
, then
is a reasonable estimation for
, written as
. However, such a
might not exist or is nonunique in practice. The following steps show how the QUANTSELECT procedure estimates the observation quantile level
via quantile process regression: