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Title: Moment and maximum likelihood estimators for Weibull distributions under length- and area-biased sampling
Author: Gove, Jeffrey H.;
Source: Environmental and Ecological Statistics. 10: 455-467.
Publication Series: Scientific Journal (JRNL)
Description: Many 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.
Keywords: horizontal point sampling, point relascope sampling, probability proportional to size, size-biased distributions, weighted distributions
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Gove, Jeffrey H. 2003. Moment and maximum likelihood estimators for Weibull distributions under length- and area-biased sampling. Environmental and Ecological Statistics. 10: 455-467.
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