Prayag, V. R. ; Gore, A. P. (1990) Density estimation for randomly distributed circular objects Metrika, 37 (1). pp. 63-69. ISSN 0026-1335
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Official URL: http://www.springerlink.com/content/n2w7jl53777115...
Related URL: http://dx.doi.org/10.1007/BF02613507
Abstract
Nearest neighbour methods traditionally used to estimate density of a sessile biological population treat individuals as points. The present paper suggests distance-based density estimators which treat individuals as circles with variable areas. Distribution of distance between a sample point and the k-th (k = 1, 2, 3,...) nearest circle is derived. Maximum likelihood estimator of density is obtained from a random sample of point to k-th order distances. Assuming a skewed distribution for the circle radius, moment estimators of density and mean circle area are derived.
Item Type: | Article |
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Source: | Copyright of this article belongs to Springer. |
Keywords: | Density Estimation; Nearest Neighbour Methods; Random Configuration |
ID Code: | 69959 |
Deposited On: | 14 Nov 2011 09:13 |
Last Modified: | 14 Nov 2011 09:13 |
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