|
| << vorige | volgende >> |
Tijdschrift beschrijving
Alle jaargangen van het bijbehorende tijdschrift
Alle afleveringen van het bijbehorende jaargang
Alle artikelen van de bijbehorende aflevering
Details van artikel 15 van 27 gevonden artikelen
| Titel: |
Hierarchical baxes predictive means and variances with application to sample survey inference |
| Auteur: |
Stroud, T.W.F. |
| Verschenen in: |
Communications in statistics |
| Paginering: | Jaargang 20 (1991) nr. 1 pagina's 13-36 |
| Jaar: |
1991 |
| Inhoud: |
Samples are observed from k populations having means [image omitted] ,(i and distributed according to a natural exponential family with quadratic variance function (NEF-QVF). Assuming an exchangeable two-stage prior, conjugate at the first stage, formulas for posterior means, variances and covariances of the μi are expressed in a unified way for all NEF-QVF models in terms of integrals over the posterior density of the two hyperparameters. This posterior density is expressed simply in terms of the normalizing function for the conjugate prior.Posterior predictive means and variances for averages of new observations are also obtained. These formulas are applied, with very little effort, to the finite population situation where the samples are independent simple random samples from the k populations, and where an exchangeable NEF-QVF superpopulation model is assumed. Posterior (predictive) means and variances for finite population totals, means and proportions are obtained. These results are illustrated with an application to small area estimation. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 15 van 27 gevonden artikelen
| << vorige | volgende >> |