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Fitting Propagation Models with Random Grains, Method and Some Simulation Studies
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M. Khazaei   1, K. Shafie , M. Ganjali |
| 1- , m_ Khazaei@sbu.ac.ir |
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Abstract: (3226 Views) |
In this paper the regression problem for random sets of the Boolean model type is developed, where the corresponding poisson process of the model is related to some explanatory variables and the random grains are not affected by these variables. A model we call propagation model, is presented and some methods for fitting this model are introduced. Propagation model is applied in a simulation study |
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| Keywords: Random closed set, hitting functional, Boolean model, propagation model, generalized linear model |
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Full-Text [PDF 422 kb]
(876 Downloads)
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Type of Study: Research |
Subject:
General
Received: 2016/01/20 | Accepted: 2016/01/20 | Published: 2016/01/20
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