Citation
Rana, Sohel and Midi, Habshah and Fitrianto, Anwar
(2013)
Statistical significance of rank regression.
Applied Mathematical Sciences, 7 (82).
4067-4072 .
ISSN 1312-885X; ESSN: 1314-7552
Abstract
Rank regression, which is quite simple to use some form of monotonic relationship between X and Y. Since the rank regression is a nonparametric approach so there are essentially no confidence interval, hypothesis tests, prediction intervals, and interpretation of regression coefficients. In this article, we proposed a bootstrap statistical significance measure of the rank regression by formulating a bootstrap interval for the rank regression parameters. If the rank regression parameters from the original data are not within the bootstrap interval, the rank regression parameters are considered significance. Numerical examples show that the merit of using this proposed bootstrap interval.
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Official URL or Download Paper: http://www.m-hikari.com/ams/ams-2013/ams-81-84-201...
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Science Institute for Mathematical Research |
| Publisher: | Hikari Ltd |
| Keywords: | Bootstrap; Rank regression; Statistical significance. |
| Depositing User: | Umikalthom Abdullah |
| Date Deposited: | 12 Sep 2014 04:01 |
| Last Modified: | 30 Oct 2015 03:23 |
| URI: | http://psasir.upm.edu.my/id/eprint/30316 |
| Statistic Details: | View Download Statistic |
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