A Quadratic Classification Rule with Equicorrelated Training Vectors for Non Random Samples
From MaRDI portal
Publication:3083772
DOI10.1080/03610920903427776zbMath1208.62103OpenAlexW2092682384MaRDI QIDQ3083772
Publication date: 23 March 2011
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610920903427776
Estimation in multivariate analysis (62H12) Classification and discrimination; cluster analysis (statistical aspects) (62H30)
Related Items (3)
Optimal estimation for doubly multivariate data in blocked compound symmetric covariance structure ⋮ Testing a block exchangeable covariance matrix ⋮ Free-coordinate estimation for doubly multivariate data
Cites Work
- Unnamed Item
- Unnamed Item
- Bayesian object identification: variants
- Linear discrimination with equicorrelated training vectors
- Some asymptotic results on the effect of autocorrelation on the error rates of the sample linear discriminant function
- Asymptotic error rates of the W and Z statistics when the training observations are dependent
- Effect of autocorrelated training samples on Bayes' probabilities of misclassification
- Further results on the effect of intraclass correlation among training samples in discriminant analysis
- Analysis of multivariate longitudinal data using quasi-least squares
- Inferences on interclass and intraclass correlations in multivariate familial data
- Detection and classification of lobular and DCIS (small cell) microcalcifications in digital mammograms
- Analysis of multivariate repeated measures data with a Kronecker product structured covariance matrix
- An Inverse Matrix Adjustment Arising in Discriminant Analysis
This page was built for publication: A Quadratic Classification Rule with Equicorrelated Training Vectors for Non Random Samples
