Estimating bias and variances in bootstrap logistic regression for Umaru and impact data
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 estima...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
AIP Publishing LLC
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/57305/ http://psasir.upm.edu.my/id/eprint/57305/ http://psasir.upm.edu.my/id/eprint/57305/1/Estimating%20bias%20and%20variances%20in%20bootstrap%20logistic%20regression%20for%20Umaru%20and%20impact%20data.pdf |