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| Titel: |
Anderson's classification statistic based on a post-stratified training sample |
| Auteur: |
Leung, C.Y. |
| Verschenen in: |
Communications in statistics |
| Paginering: | Jaargang 17 (1988) nr. 5 pagina's 1659-1667 |
| Jaar: |
1988 |
| Inhoud: |
The performance of Anderson's classification statistic based on a post-stratified random sample is examined. It is assumed that the training sample is a random sample from a stratified population consisting of two strata with unknown stratum weights. The sample is first segregated into the two strata by post-stratification. The unknown parameters for each of the two populations are then estimated and used in the construction of the plug-in discriminant. Under this procedure, it is shown that additional estimation of the stratum weight will not seriously affect the performance of Anderson's classification statistic. Furthermore, our discriminant enjoys a much higher efficiency than the procedure based on an unclassified sample from a mixture of normals investigated by Ganesalingam and McLachlan (1978). |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 2 van 26 gevonden artikelen
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