Not exact matches
They compare quantile
regression results to those from a conventional Ordinary Least
Squares (OLS) model (which focuses on distribution averages).
Least
squares regression is applied where exponent z is the gradient of the line (slope m) and the intercept of the line is the logarithm of c. Species Area relations were plotted and are shown in the
results section.
This correlation structure approximates the
results of an ordinary least
squares regression while ignoring the lack of independence among the observations.