Citation
Fitrianto, Anwar and Ng, Mei Cing
(2014)
Empirical distributions of parameter estimates in binary logistic regression using bootstrap.
International Journal of Mathematical Analysis, 8 (15).
pp. 721-726.
ISSN 1312-8876; ESSN: 1314-7579
Abstract
Bootstrapping is a famous statistical tool that involves resampling procedure to select sample from a population. In this study, we applied random-x bootstrap in binary logistic regression for published data set namely Umaru Impact data. We conducted bootstrap for the coefficient by using SAS (Statistical Analysis System). We observe the distribution of the estimated coefficients with different sample sizes. After conducting B=10000 bootstrap replications, we found that the distribution of parameters estimates is nearly normal.
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Science Institute for Mathematical Research |
DOI Number: | https://doi.org/10.12988/ijma.2014.4394 |
Publisher: | Hikari |
Keywords: | Binary logistic; Bootstrap; Parameter estimates |
Depositing User: | Nabilah Mustapa |
Date Deposited: | 15 Sep 2015 10:10 |
Last Modified: | 15 Sep 2015 10:10 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.12988/ijma.2014.4394 |
URI: | http://psasir.upm.edu.my/id/eprint/37433 |
Statistic Details: | View Download Statistic |
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