Abstracts
In this chapter three quite different models are presented: a branching process for the evolution of a population with age-dependent birth and death intensities; a classical model from risk theory with a discussion of the problem of calculating the probability of ruin and the distribution of the time to ruin; a model for how a soccer game develops over time, using a simple multiplicative Poisson model as starting point.
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Chapter 9
Jacobsen, M. (1989a). Existence and unicity of MLEs in discrete exponential family distributions. Scand. J. Statist. 16, 335–349.
A branching process
Athreya, K.B. and Jagers, P. eds. (1997). Classical and Modern Branching Processes. Springer, New York.
Athreya, K.B. and Ney, P.E. (1972). Branching Processes. Springer, Berlin.
Jagers, P. (1975). Branching Processes with Biological Applications. Wiley, London.
Jagers, P. (1989). General branching processes as random fields. Stoch. Proc. Appl. 32, 183–212.
Ruin probabilities
Asmussen, S. (2000). Ruin Probabilities. World Scientific, Singapore.
Gerber, H.E. (1979). An Introduction to Mathematical Risk Theory. Huebner Foundation Monographs, Wharton School, Philadelphia.
Jacobsen, M. (2003). Martingales and the distribution of the time to ruin. Stoch. Proc. Appl. 107, 29–51.
Jacobsen, M. (2005). The time to ruin for a class of Markov additive processes. Adv. Appl. Probab. (to appear).
Rolski, T., Schmidli, H., Schmidt, V. and Teugels, J. (1999). Stochastic Processes for Insurance and Finance. Wiley, New York.
The soccer model
Davison, A.C. (2003). Statistical Models.
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(2006). Branching, Ruin, Soccer. In: Point Process Theory and Applications. Probability and its Applications. Birkhäuser Boston. https://doi.org/10.1007/0-8176-4463-6_9
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DOI: https://doi.org/10.1007/0-8176-4463-6_9
Publisher Name: Birkhäuser Boston
Print ISBN: 978-0-8176-4215-0
Online ISBN: 978-0-8176-4463-5
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