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Cost efficient density estimation based on nearest individual distances in a natural forest



Cost efficient density estimation based on nearest individual distances in a natural forest



Biometrical Journal 31(3): 331-337



One useful method of estimating tree density is based on point to individual distances. Estimators are available for data on i-th nearest individual distances, i = 1, 2, 3,.., etc. This paper provides a method of deciding the optimal value of i in the sense of providing the maximum likelihood estimator of density with minimum mean square error subject to given outlay. The result derived for a Poisson forest is extended to an aggregated forest.

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Accession: 007165579

Download citation: RISBibTeXText

DOI: 10.1002/bimj.4710310313


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