Detecting Outliers in Exponentiated Pareto Distribution | ||
| Journal of Sciences, Islamic Republic of Iran | ||
| مقاله 6، دوره 28، شماره 3، 2017، صفحه 267-272 اصل مقاله (782 K) | ||
| نوع مقاله: Final File | ||
| نویسنده | ||
| M. Jabbari Nooghabi* | ||
| Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Islamic Republic of Iran | ||
| چکیده | ||
| In this paper, we use two statistics for detecting outliers in exponentiated Pareto distribution. These statistics are the extension of the statistics for detecting outliers in exponential and gamma distributions. In fact, we compare the power of our test statistics based on the simulation study and identify the better test statistic for detecting outliers in exponentiated Pareto distribution. At the end, we describe an example from insurance company. | ||
| کلیدواژهها | ||
| Exponentiated Pareto sample؛ Z statistic, Dixon’s statistic؛ Outliers؛ Upper outlier | ||
| مراجع | ||
|
| ||
|
آمار تعداد مشاهده مقاله: 713 تعداد دریافت فایل اصل مقاله: 1,250 |
||