@book{2335fc309a2c11dab409000ea68e967b,
title = "An estimating function approach to inference for inhomogeneous Neyman-Scott processes",
abstract = "“This paper is concerned with inference for a certain class of inhomogeneous Neyman-Scott point processes depending on spatial covariates. Regression parameter estimates obtained from a simple estimating function are shown to be asymptotically normal when the “mother” intensity for the Neyman-Scott process tends to infinity. Clustering parameter estimates are obtained using minimum contrast estimation based on the K-function. The approach is motivated and illustrated by applications to point pattern data from a tropical rain forest plot.",
author = "Waagepetersen, {Rasmus Plenge}",
year = "2005",
language = "English",
series = "Research Report Series",
number = "R-2005-30",
publisher = "Department of Mathematical Sciences, Aalborg University",
}