| Titre : | Improving ratio estimators of second order point process characteristics. | | Type de document : | texte imprimé | | Auteurs : | Dietrich Stoyan, Auteur ; Helga Stoyan, Auteur | | Editeur : | Oxford : Blackwell | | Année de publication : | 2000 | | Importance : | pp. 641-656 | | Présentation : | graph., tabl., réf. | | Note générale : | Extrait de Scandinavian Journal of Statistics - Vol.27 - N°4 | | Langues : | Anglais (eng) | | Catégories : | Thésaurus Agrovoc
Classification (information) ; Simulation
| | Résumé : | Ripley's K function, the L function and the pair correlation function are important second order characteristics of spatial point processes. These functions are usually estimated by ratio estimators, where the numerators are Horvitz-Thompson edge corrected estimators and the denominators estimate the intensity or its square. It is possible to improve these estimators with respect to bias and estimation variance by means of adapted distance dependent intensity estimators. Further improvement is possible by means of refined estimators of the square of intensity. All this is shown by statistical analysis of simulated Poisson, cluster and hard core processes. | | Type de document : | Tiré à part | | Permalien de la notice : | https://infodoc.agroparistech.fr/index.php?lvl=notice_display&id=171524 |
Improving ratio estimators of second order point process characteristics. [texte imprimé] / Dietrich Stoyan, Auteur ; Helga Stoyan, Auteur . - Oxford : Blackwell, 2000 . - pp. 641-656 : graph., tabl., réf. Extrait de Scandinavian Journal of Statistics - Vol.27 - N°4 Langues : Anglais ( eng) | Catégories : | Thésaurus Agrovoc
Classification (information) ; Simulation
| | Résumé : | Ripley's K function, the L function and the pair correlation function are important second order characteristics of spatial point processes. These functions are usually estimated by ratio estimators, where the numerators are Horvitz-Thompson edge corrected estimators and the denominators estimate the intensity or its square. It is possible to improve these estimators with respect to bias and estimation variance by means of adapted distance dependent intensity estimators. Further improvement is possible by means of refined estimators of the square of intensity. All this is shown by statistical analysis of simulated Poisson, cluster and hard core processes. | | Type de document : | Tiré à part | | Permalien de la notice : | https://infodoc.agroparistech.fr/index.php?lvl=notice_display&id=171524 |
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Ajouter le résultat dans votre panier Faire une suggestion Affiner la recherche Interroger des sources externesMarked point Processes in forest statistics. / Antti Penttinen in Forest science, Vol. 38 n° 4 (01/10/1992)
