Characterizing Diameter Distributions with Modified Data Types and Forms of the Weibull Distribution
- 1 March 1986
- journal article
- research article
- Published by Springer Nature in Forest Science
- Vol. 32 (1) , 37-48
- https://doi.org/10.1093/forestscience/32.1.37
Abstract
Complete, left censored, and left truncated data fitted with a two-parameter complete Weibull distribution were compared for characterizing complete diameter distributions. The complete data provided the best fit, followed by the censored and truncated data. As the intensity of censoring and truncation increased distribution description was generally poorer. The use of left truncated data was judged unacceptable. Left censored data appears to be a reasonable alternative to complete data. In field applications collection of left censored data would reduce measurement time. Complete, left censored, and left truncated data fitted with a two-parameter complete Weibull and left truncated data fitted with a two-parameter left truncated Weibull were compared for characterizing left truncated diameter distributions. The left truncated data fitted with a left truncated Weibull performed best, but no data type-distribution combination worked well for inverse j-shape distributions. Forest Sci. 32:37-48.Keywords
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