期刊论文详细信息
Journal of Mathematics and Statistics | |
The Estimation of Logistic Probability Model of Binomial Data: Simulation Comparison| Science Publications | |
Faris M. Al- Athari1  Hilmi F. Kittani1  Zaki. J. Al- Sarraf1  | |
关键词: Maximum likelihood; newton- raphson approach; weighted least squares; | |
DOI : 10.3844/jmssp.2008.108.111 | |
学科分类:社会科学、人文和艺术(综合) | |
来源: Science Publications | |
【 摘 要 】
Properties of various types of estimators of the regression coefficients in linear logistic regression models were considered. The estimators include those based on maximum likelihood, minimum chi-square and weighted least squares. The results of a large scale simulation investigation evaluating the moment properties of the estimators are presented for the case of logistic model with a single explanatory variable.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO201912010160347ZK.pdf | 147KB | download |