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result(s) for
"Expressing statistical models"
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Design Ideas for Markov chain Monte Carlo Software
2007
This article discusses design ideas useful in the development of Markov chain Monte Carlo (MCMC) software. Goals of the design are to facilitate analysis of as many statistical models as possible, and to enable users to experiment with different MCMC algorithms as a research tool. These ideas have been used in YADAS, a system written in the Java language, but are also applicable in other object-oriented languages.
Journal Article
Hybrid models of forest growth and yield
by
Vanclay, Jerome K
,
Kershaw, John A
,
Weiskittel, Aaron R
in
allometric models, closely tied ‐ to process‐based models, than statistical ones
,
CABALA model, akin ‐ to a process‐based model like CenW
,
CABALA, differences in light interception ‐ variations in inter‐ and intra‐row spacing
2011
This chapter contains sections titled:
Introduction
Types of hybrid models
Comparison to statistical models
Summary
Book Chapter