  In this paper, we propose methods for the estimation of parameters for the
three-parameter Reflected Weibull distribution. The Moment estimator , Maximum
likelihood estimator and Location and Scale Parameters free maximum likelihood
estimator. The Location and Scale Parameters free maximum likelihood estimator
is based on a data transformation, which avoids the problem of unbounded
likelihood estimator. Through Mont Carlo simulations, we further show that the
Location and Scale Parameters free maximum likelihood estimator performs better
than methods moment and maximum likelihood estimator in terms of bias and root
mean squared error. Finally, two examples based on real data sets are presented
to illustrate methods.
