Parameter	Maximum likelihood estimator
μx	$\overline{x}=\frac{1}{n_x}\sum _{i=1}^{n_x}{x}_i$
μy	$\overline{y}=\frac{1}{n_y}\sum _{i=1}^{n_y}{y}_i$
${\sigma }_x^2$	${\hat{\sigma }}_x^2=\frac{1}{n_x}\sum _{i=1}^{n_x}{\left(x_i-\overline{x}\right)}^2$
${\sigma }_y^2$	${\hat{\sigma }}_y^2=\frac{1}{n_y}\sum _{i=1}^{n_y}{\left(y_i-\overline{y}\right)}^2$