On the sensitivity of linear discriminant analysis to sampling variation and analytical errors
β Scribed by Kristian Linnet
- Publisher
- Elsevier Science
- Year
- 1988
- Tongue
- English
- Weight
- 741 KB
- Volume
- 21
- Category
- Article
- ISSN
- 0010-4809
No coin nor oath required. For personal study only.
β¦ Synopsis
The influence of analytical inaccuracy and imprecision on the linear discriminant function is considered. Analytical shifts occurring between the analysis of samples from each of two groups give spuriously low error rates if the function is evaluated on the training set, notably at high dimensions. Inaccuracy arising after the establishment of a discriminant function may change considerably the individual group error rates whereas the overall error rate is moderately affected. Imprecision decreases the group separation by an amount comparable to that in the univariate situation. In conclusion. evaluation of the error rates of a discriminant function on an independent test set is important to obtain realistic estimates of the performance and is preferable to using unbiased statistical methods or the split-sample principle based solely upon the training set. P 1988 Academic Pres. Inc.
π SIMILAR VOLUMES
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
## Abstract The fatty acid profiles of 120 commercial unblended peanut, corn, soybean and sunflower vegetable oils and 17 commercial brands of blended edible oils were determined by HRGC/FID/capillary column, including several __cis__ and __trans__ isomers of monoβ, diβ and triβunsaturated fatty ac