  We consider component-wise estimation of order restricted location/scale
parameters $\theta_1$ and $\theta_2$ ($\theta_1\leq \theta_2$) of a general
bivariate distribution under the squared error loss function. To find
improvements over the best location/scale equivariant estimators (BLEE/BSEE) of
$\theta_1$ and $\theta_2$, we study isotonic regression of suitable
location/scale equivariant estimators (LEE/SEE) of $\theta_1$ and $\theta_2$
with general weights. Let $\mathcal{D}_{1,\nu}$ and $\mathcal{D}_{2,\beta}$
denote suitable classes of isotonic regression estimators of $\theta_1$ and
$\theta_2$, respectively. Under the squared error loss function, we
characterize admissible estimators within classes $\mathcal{D}_{1,\nu}$ and
$\mathcal{D}_{2,\beta}$, and identify estimators that dominate the BLEE/BSEE of
$\theta_1$ and $\theta_2$. Our study unifies and extends several studies
reported in the literature for specific probability distributions having
independent marginals. Additionally, some new and interesting results are
obtained. A simulation study is also considered to compare the risk
performances of various estimators.
