In this
paper, the weighted inverse Weibull (WIW) class of distributions is proposed
and studied. This class of distributions contains several models such as:
length-biased, hazard and reverse hazard proportional inverse Weibull,
proportional inverse Weibull, inverse Weibull,inverse exponential, inverse
Rayleigh, and Fr´echet distributions as special cases. Properties of these
distributions including the behavior of the hazard function, moments,
coefficients of variation, skewness, and kurtosis, R´enyi entropy and Fisher
information are presented. Estimates of the model parameters via method of
maximum likelihood (ML) are presented. Extensive simulation study is conducted
and numerical examples are given.