A comparison between Jackknifeand other method for estimation of scale parameter of Weibulldistribution by using simulation | ||
| Al Kut Journal of Economics Administrative Sciences | ||
| Article 1, Volume 0, Issue 0, January 2018, Pages 367-381 | ||
| Abstract | ||
| Abstract Weibull distribution is considered as one of the most widely distribution applied in real life, Its similar to normal distribution in the way of applications, it's also considered as one of the distributions that can applied in many fields such as industrial engineering to represent replaced and manufacturing time , weather forecasting, and other scientific uses in reliability studies and survival function in medical and communication engineering fields. In this paper, The scale parameter has been estimated for weibull distribution using Jackknife in this purpose and nother first on Maximum likelihood estimator as a first method , then enhanced by improving Jeffery prior information and then used as a second method ,moreover another Bayesian method has been suggested based on Jeffery's method also, then a comparison between Bayesian methods with other methods (Maximum likelihood estimator, Moment ,least squares) has been made and then applied using supposed shape parameters, scale parameter , and constant c ,sample sizes (10,20,30,50,100) Finally the results showed the superiority of Maximum likelihood ,While the second jackknife estimation. | ||
|
Statistics Article View: 39 PDF Download: 18 |
||