Modeling and inference of forest coverage ratio using zero-one inflated distributions with spatial dependence-Reference-Cited by-同舟云学术

Modeling and inference of forest coverage ratio using zero-one inflated distributions with spatial dependence

Published:2012-11-08 Issue:2 Volume:20 Page:315-336
ISSN:1352-8505
Container-title:Environmental and Ecological Statistics
language:en
Short-container-title:Environ Ecol Stat

Author:

Nishii Ryuei,Tanaka Shojiro

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,General Environmental Science,Statistics and Probability

Link

http://link.springer.com/content/pdf/10.1007/s10651-012-0227-y.pdf

Reference43 articles.

1. Augustin NH, Lang S, Musio M, von Wilpert K (2007) A spatial model for needle losses of pine trees in the forest of Baden-Wuerttemberg: an application of Bayesian structured additive regression. Appl Stat 56(1): 29–50

2. Augustin NH, Musio M, von Wilpert K, Kublin E, Wood S, Schmacher M (2009) Modelling spatio-temporal trends of forest health monitoring data. J Am Stat Assoc 104(487): 899–911

3. Bartlett MS (1960) Stochastic population models. Methuen & Co, London

4. Besag J (1972) Nearest neighbor systems and the auto-logistic model for binary data. J R Stat Soc B 34: 75–83

5. Besag J (1974) Spatial interaction and the statistical analysis of lattice system. J R Stat Soc Ser B 36: 192–236

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