Predictive posterior distributions from a Bayesian version of a slash pine yield model
1996
Green, E.J. | Strawderman, W.E.
We formulate a traditional slash pine diameter distribution yield model in a Bayesian framework. We attempt to introduce as few new assumptions as possible. We generate predictive posterior samples for a number of stand variables using the Gibbs sampler. The means of the samples agree well with the predictions from the published model. In addition, our model delivers distributions of outcomes, from which it is easy to establish measures of uncertainty, e.g., Bayesian credible regions.
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书目信息
Forest science
ISSN
0015-749X
出版者
Elsevier B.V.
其它主题
Weibull distribution; Gibbs sampler
语言
英语
类型
Journal Article; Text
2024-02-29
MODS