A bootstrap generalized likelihood ratio test in discriminant analysis

DOI10.1016/0167-9473(95)00045-3zbMath0900.62316OpenAlexW1968840763MaRDI QIDQ1350412

O. Diekmann

Publication date: 27 February 1997

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-9473(95)00045-3

zbMATH Keywords

Discriminant analysisHypothesis testingBootstrapMixed variablesMixtures of continuous and discrete variables

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Parametric hypothesis testing (62F03) Point estimation (62F10)

Related Items (6)

Alternative classification rules for two normal populations with a common mean and ordered variances ⋮ Inference on parameters of Watson distributions and application to classification of observations ⋮ Classification of observations into von Mises-Fisher populations with unknown parameters ⋮ Ordered classification rules for inverse gaussian populations with unknown parameters ⋮ Unnamed Item ⋮ A Classification Method for Directional Data with Application to the Human Skull

Uses Software

• SAS

Cites Work

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• Some asymptotic theory for the bootstrap
• Bootstrap methods: another look at the jackknife
• An asymptotic expansion of the distribution of the studentized classification statistic W
• On classification by the statistics R and Z
• Mixtures of Continuous and Categorical Variables in Discriminant Analysis: A Hypothesis-Testing Approach
• Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation
• Mixtures of Continuous and Categorical Variables in Discriminant Analysis
• Discriminant Analysis Based on Binary and Continuous Variables
• Discrimination and Classification Using Both Binary and Continuous Variables
• Some linear transformations for mixtures of binary and continuous variables, with particular reference to linear discriminant analysis
• Multivariate Correlation Models with Mixed Discrete and Continuous Variables

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