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An Almost Unbiased Method of Obtaining Confidence Intervals for the Probability of Misclassification in Discriminant Analysis
Abstract
Peter A. Lachenbruch, An Almost Unbiased Method of Obtaining Confidence Intervals for the Probability of Misclassification in Discriminant Analysis, Biometrics, Vol. 23, No. 4 (Dec., 1967), pp. 639-645
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Cites
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Bradley, A. P. (1997) · Pattern Recognition · doi:10.1016/s0031-3203(96)00142-2 · Cited by 7,217
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Managerial Applications of Neural Networks: The Case of Bank Failure Predictions
Tam, K. Y., & Kiang, M. Y. (1992) · Management Science · doi:10.1287/mnsc.38.7.926 · Cited by 1,118
Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review
Ravi Kumar, P., & Ravi, V. (2007) · European Journal of Operational Research · doi:10.1016/j.ejor.2006.08.043 · Cited by 1,074
Predicting financial distress of companies: revisiting the Z-Score and ZETA® models
Altman, E. I. (2013) · Handbook of Research Methods and Applications in Empirical Finance · doi:10.4337/9780857936080.00027 · Cited by 772
PITFALLS IN THE APPLICATION OF DISCRIMINANT ANALYSIS IN BUSINESS, FINANCE, AND ECONOMICS
Eisenbeis, R. A. (1977) · The Journal of Finance · doi:10.1111/j.1540-6261.1977.tb01995.x · Cited by 676
Metadata
- Authors
- Lachenbruch, P. A.
- Venue
- Biometrics
- Publisher
- JSTOR
- Published
- 1967-12
- Volume
- 23
- Issue
- 4
- Pages
- 639
- ISSN
- 0006-341X (ISSN-L)
- OpenAlex
- W2053517339
- Cited by
- 499
- References
- 1
- FWCI
- 2.54
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lachenbruch, P. A. (1967). An Almost Unbiased Method of Obtaining Confidence Intervals for the Probability of Misclassification in Discriminant Analysis. Biometrics. https://doi.org/10.2307/2528418
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
