The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A ridge logistic estimator
Abstract
It is found that multicollinearity among the independent variables in logistic regression inflates the variances of the maximum likelihood estimator. A Ridge type estimator is proposed that will have smaller total mean squared error than the maximum likelihood estimator under certain conditions. Empirical study results are presented that evaluate this estimator for different sample sizes and degrees of multicollinearity.
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Cox, D. R., & Hinkley, D. V. (1974) · doi:10.1007/978-1-4899-2887-0 · Cited by 3,089
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The confounding effect of class size on the validity of object-oriented metrics
El Emam, K., Benlarbi, S., Goel, N., & Rai, S. N. (2001) · IEEE Transactions on Software Engineering · doi:10.1109/32.935855 · Cited by 422
Layde, P. M., Webster, L. A., Baughman, A. L., Wingo, P. A., Rubin, G. L., & Ory, H. W. (1989) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(89)90161-3 · Cited by 288
Van Calster, B., van Smeden, M., De Cock, B., & Steyerberg, E. W. (2020) · Statistical Methods in Medical Research · doi:10.1177/0962280220921415 · Cited by 120
Metadata
- Authors
- Schaefer, R. L., Roi, L. D., & Wolfe, R. A.
- Venue
- Communications in Statistics - Theory and Methods
- Publisher
- Informa UK Limited
- Published
- 1984-01
- Volume
- 13
- Issue
- 1
- Pages
- 99-113
- ISSN
- 0361-0926 (ISSN-L)
- 1532-415X
- OpenAlex
- W2139766869
- Cited by
- 267
- References
- 1
- FWCI
- 0.44
- Type
- journal article
- Language
- en
- Open access
- closed
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