TY - JOUR T1 - Fitting Propagation Models with Random Grains, Method and Some Simulation Studies TT - برازش مدل‌های انتشار با دانه‌های تصادفی، روش و برخی مطالعات شبیه‌سازی JF - srtc-jsri JO - srtc-jsri VL - 5 IS - 2 UR - http://jsri.srtc.ac.ir/article-1-118-en.html Y1 - 2009 SP - 181 EP - 192 KW - Random closed set KW - hitting functional KW - Boolean model KW - propagation model KW - generalized linear model N2 - 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 M3 10.18869/acadpub.jsri.5.2.181 ER -