Some estimation methods for new mixture distribution with simulation and application[c]

Abstract

In this paper, we investigate the New Mixture Distribution with discussion its studied mathematical and statistical properties. The classical methods (maximum likelihood, ordinary least square, and rank set sampling methods) are used to estimate the parameters of New Mixture with comparison between them using the mean square error for different sizes of simulation samples generated. Finally, we illustrate the usefulness of proposed by application of complete real data.