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Details van artikel 6 van 9 gevonden artikelen
| Titel: |
Selecting all treatments better than a control under a multivariate normal distribution and a uniform prior distribution |
| Auteur: |
Chen, Hubert J. Pickett, John R. |
| Verschenen in: |
Communications in statistics |
| Paginering: | Jaargang 13 (1984) nr. 1 pagina's 59-80 |
| Jaar: |
1984 |
| Inhoud: |
Let [image omitted] denote k treatment populations and let ⊊0 represent the control population. It is assumed that data obtained from [image omitted] by a repeated measurements design follow a multivariate normal distribution with mean vector [image omitted] and covariance matrix ∑. Then. i f 'better than' is defined to mean 'having a mean greater than or equal to '[image omitted] , we propose selection procedures for selectinga subset which includes all treatments better than the control. Due to the fact that the number of better populations is unknown, a uniform prior distribution on this unknown factor is assumed. Consequently, a higher probability of correct s election and a smaller expected subset size are the natural results. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 6 van 9 gevonden artikelen
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