An extensive update to a classic text Stochastic geometry and spatial statistics play a
fundamental role in many modern branches of physics, materials sciences, engineering …

Spatial point processes may be analysed at two levels. Quadrat and distance methods were
designed for the sampling of a population in the field. In this paper we consider those …

This book describes the properties of stochastic probabilistic models and develops the
applied mathematics of stochastic point processes. It is useful to students and research …

The structure of the probability space associated with a general point process, when
regarded as a counting process, is reviewed using the coincidence formalism. The rest of …

To date, Mixed Poisson processes have been studied by scientists primarily interested in
either insurance mathematics or point processes. Work in one area has often been carried …

This second edition of Models for Repeated Measurements has been comprehensively
revised and updated, taking into account the huge amount of research that has been carried …

Modern physics is confronted with a large variety of complex spatial patterns. Although both
spatial statisticians and statistical physicists study random geometrical structures, there has …

ON.GENERALIZED SHOT NOISE Page 1 Adv. Appl. Prob. 9, 553-565 (1977) Printed in
Israel © Applied Probability Trust 1977 ON.GENERALIZED SHOT NOISE JOHN RICE …

Publisher Summary This chapter discusses the cases in which the concepts and procedures
of ordinary time series or point processes have direct analogs in the study of point processes …

We propose new summary statistics quantifying several forms of dependence between
points of different types in a multi‐type spatial point pattern. These statistics are the …