On a classification rule for multiple measurements
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Publication:3747529
DOI10.1016/0898-1221(86)90082-9zbMath0608.62070OpenAlexW2092435046MaRDI QIDQ3747529
Publication date: 1986
Published in: Computers & Mathematics with Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0898-1221(86)90082-9
chi-squared distributionmultiple measurementsmaximum-likelihood criterionconditional probability of misclassificationdecision-theoretic model of the classification problemnon-integer number of degrees-of-freedomoptimum classification procedureunivariate classification procedure
Related Items (8)
Classification Rules for Multivariate Repeated Measures Data with Equicorrelated Correlation Structure on Both Time and Spatial Repeated Measurements ⋮ Bayesian discrimination using multiple observations ⋮ On discrimination and classification with multivariate repeated measures data ⋮ Decision theory classification of high-dimensional vectors based on small samples ⋮ Discrimination and Classification with Repeated Measures Data under Different Covariance Structures ⋮ On a multiple observations model in discriminant analysis ⋮ Discrimination with jointly equicorrelated multi-level multivariate data ⋮ Classification of multiple observations using multi-stage rank nearest neighbor rule.
Cites Work
- Estimation of the probabilities of misclassification for a linear discriminant function in the univariate normal case
- Some Applications of a Bivariate BOREL-TANNER Distribution
- Some new classification rules for c univariate normal populations
- Certain nonparametric classification rules and their asymptotic efficiencies
- Classification of multiply observed data
- Linear Combinations of Non-Central Chi-Square Variates
- Sample-Based Classification Procedures Derived from Density Estimators
- Univariate Two-Population Distribution-free Discrimination
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