Title of article
A New Statistic for Detecting Outliers in Exponential Case
Author/Authors
Ali Shadrokh and Hassan Pazira، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2010
Pages
7
From page
5614
To page
5620
Abstract
Zerbet and Nikulin presented the new statistic Zk for detecting outliers in exponential distribution. In this article, we propose a statistic (Tk) different from the well known Dixonʹs statistic Dk and similar to the statistic Zk to test for multiple outliers. Distribution of the test based on this new statistic under slippage alternatives is obtained. The power of the new test is also calculated, it is compared to the power of the statistic Dk. The results show that the test based on statistic Tk is more powerful than the test based on the statistic Dk
Keywords
Dixonיs statistic , Outlier , Power of the test , Test of Chauvenet , Slippage hypothesis , Upper outlier , Exponential sample , Z statistic
Journal title
Australian Journal of Basic and Applied Sciences
Serial Year
2010
Journal title
Australian Journal of Basic and Applied Sciences
Record number
676107
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