Evaluating the Sample Specificity of Discriminant Analysis Results Using the Jackknife Statistic.
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- Type
- article
- Published
- 1991-01-01
- Cited by
- 6
- References
- 19
- OpenAlex
- https://openalex.org/W41821614
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:54717812
Keywords
Jackknife resampling, Linear discriminant analysis, Discriminant function analysis, Statistics, Sample (material)
References
- Why Multivariate Methods are Usually Vital
- The Importance of Invariance Procedures as against Tests of Statistical Significance.
- Canonical Correlation Analysis: Uses and Interpretation
- The Case Against Statistical Significance Testing
- Computer-Intensive Methods in Statistics
- FOUR METHODS OF ANALYZING BETWEEN VARIATION FOR THE K-GROUP MANOVA PROBLEM.
- A Trustworthy Jackknife
- NOTES ON BIAS IN ESTIMATION
- The Generalized Jackknife Statistic
- Variable Importance in Multiple Regression and Canonical Correlation.
- Techniques in Market Measurement: The Jackknife
- Validation of Discriminant Analysis in Marketing Research
- Cross-Validation for Prediction
- 232. Note: Assumption-free Estimators Using U Statistics and a Relationship to the Jackknife Method
- The Generalised Jackknife Statistic
- Computer-aided multivariate analysis
- Statistical Significance, Result Importance, and Result Generalizability: Three Noteworthy But Somewhat Different Issues
Cited by
- A Primer on the Use of Predictive Discriminant Analysis.
- Cross-Validation in Canonical Analysis.
- Soft Systems and musical metaphors—The surprising connections of mathematics, language, and family processes
- Use of the Jackknife Statistic to Evaluate Result Replicability
- Molecular determinants of neoadjuvant chemotherapy resistance in breast cancer: An analysis of gene expression and tumor microenvironment
- Identification of predictive pretreatment biomarkers for neoadjuvant chemotherapy response in Latino invasive breast cancer patients
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