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Parameter estimation for growth interaction processes using spatio-temporal information

Författare och institution:
C. Redenbach (-); Aila Särkkä (Institutionen för matematiska vetenskaper, Chalmers/GU)
Publicerad i:
Computational Statistics & Data Analysis, 57 ( 1 ) s. 672-683
ISSN:
0167-9473
Publikationstyp:
Artikel, refereegranskad vetenskaplig
Publiceringsår:
2013
Språk:
engelska
Fulltextlänk:
Fulltextlänk (lokalt arkiv):
Sammanfattning (abstract):
Methods for the parameter estimation for a spatio-temporal marked point process model, the so-called growth-interaction model, are investigated. Least squares estimation methods for this model found in the literature are only concerned with fitting the mark distribution observed in the data. These methods are unable to distinguish between models which have the same birth, death, interaction and growth functions and parameters but different arrival strategies for the points. Hence, they are extended such that the spatial structure of a point pattern is also taken into account. The suggested methods are evaluated in a simulation study and applied to a small data set from forestry.
Ämne (baseras på Högskoleverkets indelning av forskningsämnen):
NATURVETENSKAP ->
Data- och informationsvetenskap ->
Statistik, data- och systemvetenskap
Nyckelord:
L-function, Least squares estimation, Logistic power-law function, Parameter estimation, Scots pines, point-processes, patterns
Postens nummer:
167633
Posten skapad:
2012-12-13 10:06
Posten ändrad:
2013-02-01 07:57

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