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Asymptotic properties of the EPMC for modified linear discriminant analysis when sample size and dimension are both large

โœ Scribed by Masashi Hyodo; Takayuki Yamada


Book ID
108193448
Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
197 KB
Volume
140
Category
Article
ISSN
0378-3758

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Error Bounds for Asymptotic Approximatio
โœ Yasunori Fujikoshi ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 184 KB

Theoretical accuracies are studied for asymtotic approximations of the expected probabilities of misclassification (EPMC) when the linear discriminant function is used to classify an observation as coming from one of two multivariate normal populations with a common covariance matrix. The asymptotic