1
Master's degree in Statistics, Allameh Tabatabaei University, Iran
2
Faculty of Statistics, Allameh Tabatabaei University, Iran
Abstract
Many point process models have been proposed for studying various scientific disciplines such as geology, medicine, astronomy, forestry, environment, etc. The issue of evaluating the fit of these models is important. Residual-based methods are suitable tools for evaluating the goodness of fit of spatial point process models. In this paper, first, the concepts related to Voronoi residuals are reviewed, then, after fitting a cluster point process to the Guilan forest tree position dataset, the proposed model is evaluated using these residuals.
Arzhang Demirchi, H. & Pourtaheri, R. (2019). Voronoi Residuals and Their Application in Assessing the Fit of Point Process Models: An Applied Study. Andishe_ye Amari, 23(2), 37-46.
MLA
Arzhang Demirchi, H., & Pourtaheri, R. "Voronoi Residuals and Their Application in Assessing the Fit of Point Process Models: An Applied Study", Andishe_ye Amari, 23, 2, 2019, 37-46.
HARVARD
Arzhang Demirchi H., Pourtaheri R. (2019). 'Voronoi Residuals and Their Application in Assessing the Fit of Point Process Models: An Applied Study', Andishe_ye Amari, 23(2), pp. 37-46.
CHICAGO
H. Arzhang Demirchi & R. Pourtaheri, "Voronoi Residuals and Their Application in Assessing the Fit of Point Process Models: An Applied Study," Andishe_ye Amari, 23 2 (2019): 37-46,
VANCOUVER
Arzhang Demirchi H., Pourtaheri R. Voronoi Residuals and Their Application in Assessing the Fit of Point Process Models: An Applied Study. Andishe_ye Amari. 2019;23(2):37-46 (In Persian).
