Inverse Power Log-Toppleone distribution and its competitors for estimating the exchange rate datasets

This study developed an alternative distribution to any generalized Weibull, Gamma and several well-known distributions in the literature called Inverse Power Log-Toppleone distribution for estimating the exchange rate datasets. The simplest form and quantile function were obtained while the maximum likelihood approach applied for estimating the parameters. In addition, two datasets for exchange rate were analyzed and check for the best fitted model. Based on the results available for the two datasets the proposed model outperformed its competitors for estimating the datasets based on measure criteria.