Estimating bias and variances in bootstrap logistic regression for Umaru and impact data

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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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Bibliographic Details
Main Authors:	Fitrianto, Anwar, Ng, Mei Cing
Format:	Conference or Workshop Item
Language:	English
Published:	AIP Publishing LLC 2014
Online Access:	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

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