In this approach we consider the problem of estimating the
p-dimensional location parameter in multivariate normal distribution under balance loss function when the scalar scale component is assumed to be unknown.
The aim is to study the performance of a dominant class of
estimators over the unrestricted estimator, when the components of location parameter are restricted to be nonnegative.