/ تحليل متعدد المستوى- نماذج التجميع الجزئي- طريقة الامكان الاعظم الكاملة- معيار اكايكي العام
Multilevel analysis - partial pooling models - full Maximum likelihood method FML - Akaik's Information Criterion AIC
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In this research The study of Multi-level model (partial pooling model) we consider The partial pooling model which is one Multi-level models and one of the Most important models and extensive use and application in the analysis of the data .This Model characterized by the fact that the treatments take hierarchical or structural Form, in this partial pooling models, Full Maximum likelihood FML was used to estimated parameters of partial pooling models (fixed and random ), comparison between the preference of these Models, The application was on the Suspended Dust data in Iraq, The data were for four and a half years .Eight stations were selected randomly among the stations in Iraq. We use Akaik′s Informa
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