Upper bounds of generalized p-values for testing the coefficients of variation of lognormal distributions
The coefficient of variation is defined as the ratio of the standard deviation to the mean. It has been widely used to compare the variability between groups of observations. Recently, there have been many researchers proposed tests and confidence intervals for the coefficients of variation of data...
Saved in:
| Main Authors: | , , |
|---|---|
| Language: | English |
| Published: |
Science Faculty of Chiang Mai University
2019
|
| Subjects: | |
| Online Access: | http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=6825 http://cmuir.cmu.ac.th/jspui/handle/6653943832/66129 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Chiang Mai University |
| Language: | English |
| Summary: | The coefficient of variation is defined as the ratio of the standard deviation to the mean. It has been widely used to compare the variability between groups of observations. Recently, there have been many researchers proposed tests and confidence intervals for the coefficients of variation of data from normal distribution. However, this paper presents the new generalized p-values for testing the single coefficient of variation and the difference between coefficients of variation for lognormal distribution using the generalized p-value developed by Tsui & Weerahandi [16]. Moreover, for each generalized p-value, we derive a closed form expression of its upper bound. Numerical computations illustrate the theoretical results. |
|---|