چکیده مقاله
This paper compares methods of estimation for the parameters of a New Pareto type distribution Least squares LS regression and maximum likelihood estimates MLE are presented For the LS regression method, LS Y on X and LS X on Y are used for estimating the two parameters for the new Pareto type distribution The properties of LS regression and maximum likelihood estimators are compared via Monte Carlo simulations We also compare the two LS regression methods LS Y on X and LS X on Y in terms of model statistics
کلیدواژهها
Maximum likelihood estimator least square estimator mean square error. mean square error
نویسندگان
Ali Saadati Nik
Maters Student, University of Mazandaran;
Akbar Asgharzadeh
Faculty Member, University of Mazandaran;
شیوه ارجاع
Saadati Nik, Ali and Asgharzadeh, Akbar,1398,Comparison of Linear Regression and Maximum Likelihood Methods to Estimate a New Pareto-type Distribution,3rd International Conference on Soft Computing,Rudsar
ارائهشده در
مجموعه مقالات سومین کنفرانس بین المللی محاسبات نرم29 آبان 1398 · رودسر