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| Titel: |
Asymptotic Comparison of Two Discriminants Used in Normal Covariate Classification |
| Auteur: |
Leung, C.Y. Srivastava, M.S. |
| Verschenen in: |
Communications in statistics |
| Paginering: | Jaargang 12 (1983) nr. 14 pagina's 1637-1646 |
| Jaar: |
1983 |
| Inhoud: |
In this paper, we examine the performance of Anderson's classification statistic with covariate adjustment in comparison with the usual Anderson's classification statistic without covariate adjustment in a two-population normal covariate classification problem. The same problem has been investigated using different methods of comparison by some authors. See the bibliography. The aim of this paper is to give a direct comparison based upon the asymptotic probabilities of misclassification. It is shown that for large equal sample size of a training sample from each population, Anderson's classification statistic with covariate adjustment and cut-off point equal to zero, has better performance. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
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