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Clustering and abundance estimation for Neyman-Scott models and line transect surveys

✍ Scribed by Brown, B.

Book ID
121455431
Publisher
Oxford University Press
Year
1998
Tongue
English
Weight
661 KB
Volume
85
Category
Article
ISSN
0006-3444

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Parameter Estimation and Model Selection
Parameter Estimation and Model Selection for Neyman-Scott Point Processes
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## Abstract This paper proposes an approximative method for maximum likelihood estimation of parameters of Neyman‐Scott and similar point processes. It is based on the point pattern resulting from forming all difference points of pairs of points in the window of observation. The intensity function