Citation
Fitrianto, Anwar and Ng, Mei Cing
(2014)
Estimating bias and variances in bootstrap logistic regression for Umaru and impact data.
In: 3rd International Conference on Quantitative Sciences and Its Applications (ICOQSIA 2014), 12–14 Aug. 2014, Langkawi, Kedah. (pp. 742-747).
Abstract
We employed random-x bootstrap in binary logistic regression model. We investigate the effect of sample size and number of bootstrap replication on the bias and variance. The performance of estimated coefficient is measured based on the bias, variance, and confidence interval of the bootstrap estimates. In addition, we also focus on the length of confidence interval of the bootstrap estimates. We found that bias and variance decrease for larger sample size. We noticed that length of confidence intervals decrease as the sample size and number of bootstrap replication are getting large. The results show that the estimated coefficient is more precise as the sample size increases.
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Additional Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculty of Science Institute for Mathematical Research |
| DOI Number: | https://doi.org/10.1063/1.4903665 |
| Publisher: | AIP Publishing LLC |
| Keywords: | Central limit theorem; Normal distribution; Sample size |
| Depositing User: | Nabilah Mustapa |
| Date Deposited: | 26 Sep 2017 04:02 |
| Last Modified: | 26 Sep 2017 04:02 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1063/1.4903665 |
| URI: | http://psasir.upm.edu.my/id/eprint/57305 |
| Statistic Details: | View Download Statistic |
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