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Moment and maximum likelihood estimators for Weibull distributions under length- and area-biased samplingAuthor(s): Jeffrey H. Gove
Source: Environmental and Ecological Statistics. 10: 455-467.
Publication Series: Scientific Journal (JRNL)
Station: Northeastern Research Station
PDF: Download Publication (780.72 KB)
DescriptionMany of the most popular sampling schemes used in forestry are probability proportional to size methods. These methods are also referred to as size biased because sampling is actually from a weighted form of the underlying population distribution. Length- and area-biased sampling are special cases of size-biased sampling where the probability weighting comes from a lineal or areal function of the random variable of interest, respectively. Often, interest is in estimating a parametric probability density of the data. In forestry, the Weibull function has been used extensively for such purposes. Estimating equations for method of moments and maximum likelihood for two- and three-parameter Weibull distributions are presented. Fitting is illustrated with an example from an area-biased angle-gauge sample of standing trees in a woodlot. Finally, some specific points concerning the form of the size-biased densities are reported.
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CitationGove, Jeffrey H. 2003. Moment and maximum likelihood estimators for Weibull distributions under length- and area-biased sampling. Environmental and Ecological Statistics. 10: 455-467.
Keywordshorizontal point sampling, point relascope sampling, probability proportional to size, size-biased distributions, weighted distributions
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