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maximum likelihood for fuzzy pure spatial autoregressive model
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نویسنده
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mohammed jaufar mousa ,tawfeeq ammer fadel ,aziz maysoon m.
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منبع
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international journal of nonlinear analysis and applications - 2022 - دوره : 13 - شماره : 1 - صفحه:2267 -2277
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چکیده
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This paper deals with the study about the formulation of spatial regression models for independent and dependent fuzzy variables, while the parameters crisp values, which are estimated by the maximum likelihood method. in this paper, has been formulated fuzzy pure spatial autoregressive model (fpsam) from the fuzzy general spatial model, and applied for trapezoidal fuzzy number in the domain traffic accidents for several cities in iraq for the year 2018 and that after converting the trapezoidal fuzzy number into crisp values by centroid method, calculations the results by matlab language.
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کلیدواژه
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fuzz spatial regression models ,fuzzy pure spatial ,autoregressive model ,centroid method
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آدرس
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university of kirkuk, college administration and economics, department statistics, iraq, university of kirkuk, college administration and economics, department statistics, iraq, university of mosul, college computer sciences and mathematics, department mathematics, iraq
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پست الکترونیکی
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aziz_maysoon@uomosul.edu.iq
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Authors
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