Tree diameter distribution modelling: introducing the logitlogistic distribution
Wang, Mingliang and Rennolls, Keith (2005) Tree diameter distribution modelling: introducing the logitlogistic distribution. Canadian Journal of Forest Research, 35 (6). pp. 1305-1313. ISSN 0045-5067 (Print), 1208-6037 (Online) (doi:10.1139/x05-057)
Full text not available from this repository.Abstract
Johnson's SB distribution is a four-parameter distribution that is transformed into a normal distribution by a logit transformation. By replacing the normal distribution of Johnson's SB with the logistic distribution, we obtain a new distributional model that approximates SB. It is analytically tractable, and we name it the "logitlogistic" (LL) distribution. A generalized four-parameter Weibull model and the Burr XII model are also introduced for comparison purposes. Using the distribution "shape plane" (with axes skew and kurtosis) we compare the "coverage" properties of the LL, the generalized Weibull, and the Burr XII with Johnson's SB, the beta, and the three-parameter Weibull, the main distributions used in forest modelling. The LL is found to have the largest range of shapes. An empirical case study of the distributional models is conducted on 107 sample plots of Chinese fir. The LL performs best among the four-parameter models.
Item Type: | Article |
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Additional Information: | [1] Accepted: 16 February 2005. [2] First published: June 2005. |
Uncontrolled Keywords: | tree diameter, logitlogistic, LL, distribution, computer modlling, distributional model |
Subjects: | Q Science > QA Mathematics > QA76 Computer software S Agriculture > SD Forestry |
Pre-2014 Departments: | School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Department of Computer Science School of Computing & Mathematical Sciences > Statistics & Operational Research Group |
Related URLs: | |
Last Modified: | 14 Oct 2016 09:02 |
URI: | http://gala.gre.ac.uk/id/eprint/874 |
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