A WEIGHTED NADARAJAH AND HAGHIGHI DISTRIBUTION

We propose and study a two-parameter weighted Nadarajah and Haghighi distribution. The new distribution can be viewed as an alternative model to some of the classical two-parameter distributions such as the Weibull, gamma, exponentiated half-logistic and exponentiated exponential distributions. We explore some of its mathematical properties. The maximum likelihood estimation method is adopted to estimate the model parameters. A Monte Carlo simulation study is performed to assess the adequacy of the estimates. We compare the fits of the proposed distribution and other competitive models to three real data sets.