Linear Bayes Estimation in Finite Populations with a Categorical Auxiliary Variable
(1990) Statistics : a journal of theoretical and applied statistics — Vol. 21, n° 3, p. 437-454 (1990)
Files
No attached file found for this publication.
Details
- Authors
- Abstract
- Least squares approximations are given for both the structural expectation and the unsampled population values in a finite population model with an auxiliary variable which is categorical. An ANOVA model is used as a guideline and a motivation. The linear BAYES approach is shown to provide an easy and operational solution to the well known difficulty of integrating out the superpopulation parameters in a BAYESian framework.
- Affiliations
Citations
Cocchi, D., & Mouchart, M. (1990). Linear Bayes Estimation in Finite Populations with a Categorical Auxiliary Variable. Statistics : a journal of theoretical and applied statistics, 21(3), 437-454. https://doi.org/10.1080/02331889008802253 (Original work published 1990)