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

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 estimat...

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Veröffentlicht in:Biometrical journal 1989, Vol.31 (3), p.331-337
Hauptverfasser: Prayag, V. R., Gore, A. P.
Format: Artikel
Sprache:eng
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Aggregated pattern
Density
Nearest neighbour
Poisson forest
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container_title Biometrical journal
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creator Prayag, V. R.
Gore, A. P.
description 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.
doi_str_mv 10.1002/bimj.4710310313
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source Wiley Online Library Journals Frontfile Complete
subjects Aggregated pattern
Density
Nearest neighbour
Poisson forest
title Cost-Efficient Density Estimation Based on Nearest Individual Distances in a Natural Forest
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