It is shown that any discrete probability distribution with non-negative support can be represented as a generalized Poisson process with state-dependent rates. By looking at empirical estimates of these rate parameters from data, models can be built in terms of an appropriate functional form for th
Extended Poisson Process Modelling and Analysis of Count Data
โ Scribed by M. J. Faddy
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 463 KB
- Volume
- 39
- Category
- Article
- ISSN
- 0323-3847
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โฆ Synopsis
It is shown that any discrete distribution yith non-negative support has a representation in terms of an extended Poisson process (or pure birth process). A particular extension of the simple Poisson process is proposed: one that admits a variety of distributions; the equations for such processes may be readily solved numerically. An analytical approximation for the solution is given, leading to approximate mean-variance relationships. The resulting distributions are then applied to analyses of some biological data-sets.
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