Some Estimation Methods for New Mixture Distribution with Simulation and Application[c]

2nd International Scientific Conference (Pure Sciences, Brilliant Creativity and Renewed Building)

Mohammed, Maysaa Jalil^1 ; Hussein, Iden Hasan^2

University of Baghdad, College of Education for Pure Science, Department of Mathematics, Ibn Al Haitham, Iraq^1

University of Baghdad, College of Science for Women, Department of Mathematics, Iraq^2

关键词: Classical methods;    Different sizes;    Estimation methods;    Mixture distributions;    Ordinary least squares;    Sampling method;    Statistical properties;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/571/1/012014/pdf
DOI  :  10.1088/1757-899X/571/1/012014

来源: IOP

【 摘 要 】

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.