Refined distributional approximations for the uncovered set in the Johnson

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Refined distributional approximations for the uncovered set in the Johnson–Mehl model

Published:2001-12 Issue:2 Volume:96 Page:243-259
ISSN:0304-4149
Container-title:Stochastic Processes and their Applications
language:en
Short-container-title:Stochastic Processes and their Applications

Author:

Erhardsson Torkel

Publisher

Elsevier BV

Subject

Applied Mathematics,Modeling and Simulation,Statistics and Probability

Reference21 articles.

1. Poisson perturbations;Barbour;ESAIM Probab. Statist.,1999

2. Asymptotic Methods in Analysis.;de Bruijn,1958

3. Limit theorems for the time of completion of Johnson–Mehl tessellations;Chiu;Adv. Appl. Probab.,1995

4. A central limit theorem for linear Kolmogorov's birth-growth models;Chiu;Stochastic Process. Appl.,1997

5. Central limit theory for the number of seeds in a growth model in Rd with inhomogenous Poisson arrivals;Chiu;Ann. Appl. Probab.,1997

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1. Integration in a dynamical stochastic geometric framework;ESAIM: Probability and Statistics;2011

2. Statistical aspects of fuzzy monotone set-valued stochastic processes. Application to birth-and-growth processes;Fuzzy Sets and Systems;2009-11

3. Strong memoryless times and rare events in Markov renewal point processes;The Annals of Probability;2004-07-01

4. The Boolean Model: from Matheron till Today;Space, Structure and Randomness

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