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Linear discriminant function under multivariate non-normal rice (Oryza sativa) and maize (Zea mays) data

Indian Agricultural Research Journals

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Title Linear discriminant function under multivariate non-normal rice (Oryza sativa) and maize (Zea mays) data
 
Creator RAMAN, R K
WAHI, S D
PAUL, A K
 
Subject Discriminant analysis; Multivariate non-normal distribution; Probability of misclassification
 
Description The performance of linear discriminant function was studied under multivariate non-normal situations. The different multivariate non-normal populations were simulated by using the mean vectors and dispersion matrices of rice (Oryza sativa L.) and maize (Zea mays L.) data sets. Further 50 different independent samples were simulated for different dimensions and sample sizes for maize and rice data to obtain empirical probabilities of misclassification. On fitting linear discriminant function to non-normal data the empirical probabilities of misclassification were higher as compared to misclassifying probabilities obtained by using normal approximation. In large sample sizes and in higher dimensions the differences between empirical and normal approximation of probabilities of misclassification were found almost negligible.
 
Publisher The Indian Journal of Agricultural Sciences
 
Contributor —
 
Date 2012-05-14
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://epubs.icar.org.in/ejournal/index.php/IJAgS/article/view/17803
 
Source The Indian Journal of Agricultural Sciences; Vol 82, No 5 (2012)
0019-5022
 
Language eng
 
Relation http://epubs.icar.org.in/ejournal/index.php/IJAgS/article/view/17803/8578
 
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