Characterization of diameter distribution data in near-natural forests using the Birnbaum–Saunders distribution

By Rafal Podlaski. 2008

47 citations recorded by the source corpus.

Subfields: Environmental Engineering, Nature and Landscape Conservation, Plant Science

View Paper: https://www.semanticscholar.org/paper/414f93aa4ee66818936d9c0b20199ee1775fd82d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Víctor Leiva
2. P. Prado
3. I. Gomes
4. Renato A F Lima
5. M. Ferreira
6. J. Batista

In Nature and Landscape Conservation

1. Víctor Leiva
2. P. Prado
3. I. Gomes
4. Renato A F Lima
5. M. Ferreira
6. J. Batista

In Plant Science

1. Víctor Leiva
2. P. Prado
3. I. Gomes
4. Renato A F Lima
5. M. Ferreira
6. J. Batista

Citations in the corpus

• Modeling Tree Diameter Distributions in Natural Forests: An Evaluation of 10 Statistical Models (2015, methodology): “The EXP, LN, and BS models clearly performed worse, suggesting that they may provide better descriptions in temperate or managed forests, as found by Bliss and Reinker (1964), Nanang (1998), and Podlaski (2008).”
• On an extreme value version of the Birnbaum-Saunders distribution (2012, methodology): “For applications in fields beyond engineering allowing business, environmental and medical data to be analyzed by using this model, see Leiva et al. (2007, 2008b, 2009b, 2010a,b, 2011), Podlaski (2008), Barros et al. (2008), Bhatti (2010), Ahmed et al. (2010), and Vilca et al. (2010).”