|
| << vorige |
Tijdschrift beschrijving
Alle jaargangen van het bijbehorende tijdschrift
Alle afleveringen van het bijbehorende jaargang
Alle artikelen van de bijbehorende aflevering
Details van artikel 10 van 10 gevonden artikelen
| Titel: |
Updating a discriminant function on the basis of unclassified data |
| Auteur: |
McLachlan, G. J. Ganesalingam, S. |
| Verschenen in: |
Communications in statistics |
| Paginering: | Jaargang 11 (1982) nr. 6 pagina's 753-767 |
| Jaar: |
1982 |
| Inhoud: |
The problem of updating a discriminant function on the basis of data of unknown origin is studied. There are observations of known origin from each of the underlying populations, and subsequently there is available a limited number of unclassified observations assumed to have been drawn from a mixture of the underlying populations. A sample discriminant function can be formed initially from the classified data. The question of whether the subsequent updating of this discriminant function on the basis of the unclassified data produces a reduction in the error rate of sufficient magnitude to warrant the computational effort is considered by carrying out a series of Monte Carlo experiments. The simulation results are contrasted with available asymptotic results. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 10 van 10 gevonden artikelen
| << vorige |