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Information Journal Paper

Title

FITTING PROPAGATION MODELS WITH RANDOM GRAINS, METHOD AND SOME SIMULATION STUDIES

Pages

  181-192

Abstract

 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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    APA: Copy

    KHAZAEI, M., SHAFIE, K., & GANJALI, M.. (2008). FITTING PROPAGATION MODELS WITH RANDOM GRAINS, METHOD AND SOME SIMULATION STUDIES. JOURNAL OF STATISTICAL RESEARCH OF IRAN (JSRI), 5(2), 181-192. SID. https://sid.ir/paper/129909/en

    Vancouver: Copy

    KHAZAEI M., SHAFIE K., GANJALI M.. FITTING PROPAGATION MODELS WITH RANDOM GRAINS, METHOD AND SOME SIMULATION STUDIES. JOURNAL OF STATISTICAL RESEARCH OF IRAN (JSRI)[Internet]. 2008;5(2):181-192. Available from: https://sid.ir/paper/129909/en

    IEEE: Copy

    M. KHAZAEI, K. SHAFIE, and M. GANJALI, “FITTING PROPAGATION MODELS WITH RANDOM GRAINS, METHOD AND SOME SIMULATION STUDIES,” JOURNAL OF STATISTICAL RESEARCH OF IRAN (JSRI), vol. 5, no. 2, pp. 181–192, 2008, [Online]. Available: https://sid.ir/paper/129909/en

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