Rao distance between multivariate linear normal models and their application to the classification of response curves
DOI10.1016/0167-9473(92)90117-XzbMath0800.62291OpenAlexW2027221195WikidataQ127488399 ScholiaQ127488399MaRDI QIDQ1330514
Angel Villarroya, Josep M. Oller, Martin Rios
Publication date: 20 September 1994
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0167-9473(92)90117-x
Rao distancediscriminant analysismultivariate analysis of varianceresponse curveoral glucose tolerance test
Multivariate analysis (62H99) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Hypothesis testing in multivariate analysis (62H15) Analysis of variance and covariance (ANOVA) (62J10)
Cites Work
- Decision rule, based on the distance, for the classification problem
- Diversity and dissimilarity coefficients: A unified approach
- Informative geometry of probability spaces
- Linear Statistical Inference and its Applications
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