Abstract
Recent work on the analysis of growth curves has concentrated on the generalized growth model put forward by Potthoff & Roy (1964), the model being studied from a Bayesian viewpoint by Geisser (1970). The analysis of such data however falls naturally within the scope of the general Bayesian linear model proposed and analyzed by Lindley & Smith (1972). Here we apply the theory developed by Lindley & Smith to the estimation problem for growth curves, and also consider the problem of prediction, given a sample from this model.
Keywords
MathematicsBayesian probabilityScope (computer science)Growth curve (statistics)Applied mathematicsEconometricsSample (material)StatisticsComputer science
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Publication Info
- Year
- 1975
- Type
- article
- Volume
- 62
- Issue
- 1
- Pages
- 89-100
- Citations
- 108
- Access
- Closed
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Cite This
Tom Fearn
(1975).
A Bayesian approach to growth curves.
Biometrika
, 62
(1)
, 89-100.
https://doi.org/10.1093/biomet/62.1.89
Identifiers
- DOI
- 10.1093/biomet/62.1.89