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...
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| 主要な著者: | , |
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| フォーマット: | Conference or Workshop Item |
| 言語: | English |
| 出版事項: |
AIP Publishing LLC
2014
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| オンライン･アクセス: | http://psasir.upm.edu.my/id/eprint/57305/1/Estimating%20bias%20and%20variances%20in%20bootstrap%20logistic%20regression%20for%20Umaru%20and%20impact%20data.pdf http://psasir.upm.edu.my/id/eprint/57305/ |
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