Parameter Estimation for the New Weibull Pareto Distribution under Type II Censored Samples

In this paper, parameters estimation under type II censored samples and the corresponding variance covariance matrix for the new WeibullndashPareto distribution are obtained. Nasiru and Luguterah (2015) Results may be considered as a special case from present results. An illustrative example is carried out by using a simulated data

The Exponentiated Generalized Alpha Power Family of Distribution: Properties and Applications

In this paper, we introduce the exponentiated generalized alpha power family of distributions to extend the several other distributions. We used the new family to discuss the exponentiated generalized alpha power exponential (EGAPEx) distribution. Some statistical properties of the EGAPEx distribution are obtained. The model parameters are obtained by the maximum likelihood estimation (MLE), maximum product spacing (MPS) and Bayesian estimation methods. A Monte Carlo Simulation is performed to compare between different methods. We illustrate the performance of the proposed new family of distributions by means of two real data sets and the data sets show the new family of distributions is more appropriate as compared to the exponentiated generalized exponential, alpha power generalized exponential, alpha power exponential, generalized exponential and exponential distributions

On the Exponentiated New Weighted Weibull Distribution

A new model called exponentiated new weighted Weibull distribution has been defined and studied. Some mathematical properties of the proposed model including moments, hazard rate, quantile, Order Statistics and moment generating function are derived. Also, numerical illusteratan to follow the behaviours of estimators are applied. Parameters estimation using maximum likelihood and itrsquos variance covariance matrix are obtained.nbspnbs