Statistical inference for Gibbs point processes based on field observations
Metadades
Mostra el registre complet de l'elementcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7037
comunitat-uji-handle3:10234/8635
comunitat-uji-handle4:
INVESTIGACIONAquest recurs és restringit
http://dx.doi.org/10.1007/s00477-010-0438-4 |
Metadades
Títol
Statistical inference for Gibbs point processes based on field observationsData de publicació
2011-02Editor
WileyCita bibliogràfica
COMAS RODRÍGUEZ, Carlos; MATEU, Jorge. Statistical inference for Gibbs point processes based on field observations. Stochastic Environmental Research and Risk Assesment (2011), v. 25, issue 2, pp. 287-300Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
http://link.springer.com/article/10.1007%2Fs00477-010-0438-4Versió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
Forest inventories are mostly based on field observations, and complete records of spatial tree coordinates are seldom taken. The lack of individual coordinates prevents the use of well stablised statistical inference ... [+]
Forest inventories are mostly based on field observations, and complete records of spatial tree coordinates are seldom taken. The lack of individual coordinates prevents the use of well stablised statistical inference tools based on the likelihood function. However, the Takacs–Fiksel approach, based on equating two expectations derived from different measures, can be used routinely without any measurement of tree coordinates, just by considering nearest neighbour measurements and the counting of trees at some random positions. Despite this, little attention has been paid to the Takacs–Fiksel method in terms of the type of test function and the type of field observation data considered. Motivated by problems based on field observations, we present a simulation study to analyse and illustrate the quality of the parameter estimates for this estimation approach under distinct simulated scenarios, where several test functions and distinct forest sampling designs are taken into account. Indeed, the type of the chosen test function affects the resulting estimates in terms of the forest field observation considered. [-]
Publicat a
Stochastic Environmental Research and Risk Assesment (2011), v. 25, issue 2Drets d'accés
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/restrictedAccess
info:eu-repo/semantics/restrictedAccess
Apareix a les col.leccions
- MAT_Articles [751]