DUS Inverse Weibull Distribution and Parameter Estimation in Regression Model

This paper considers various estimation methods to estimate the unknown parameters of DUS Inverse Weibull (DIW) distribution using maximum likelihood (ML), least squares (LS), weighted (WLS), Cramer-von Mises (CVM) and Anderson-Darling (AD) estimators. A Monte-Carlo simulation study is conducted determine most preferable estimators in terms their efficiencies. Furthermore, error simple linear regression assumed be DIW show implementation it models. We also carry out a for comparing performances parameters.