On Weighted Discretized Fre ́chet-Weibull Distribution with Application to real life data

Weighted distributions have great practical importance in mathematics, probability and statistics. In this study a new discrete distribution which is weighted version of Discretized Fréchet-Weibull (DFWD), known as (WDFWD), proposed. It has been shown that the unimodal, positively skewed suitable for modelling with overdispersed count data sets. This bathtub shape decreasing hazard rate function. Various statistical properties simulation proposed are obtained. The estimation parameters handled by method maximum likelihood estimation. Finally, model fitted to three real life sets test its goodness fit. And show efficacy it being compared distribution, generalized Weibull, inverse Burr Rayleigh distribution. established DFWD gives better fit than parent DFWD, indicates