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استعمال بعض الاساليب الاحصائية للتنبؤ بانتاج محصول الشلب في العراق للمدة (2025 - 2016) == Some Use Statistical Methods To Predict The Yield of Rice Production In Iraq (2016 - 2025)
Author name:
عبير محمود جاسم
Supervisor name:
احمد ذياب احمد العزاوي
General topic:
Administration and Economics
Specific topic:
Statistics
Degree:
Higher Diploma
University:
University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language:
Arabic
University location:
Baghdad
First pages:
07T3845 - p.pdf
Abstract:
يعد القطاع الزراعي من القطاعات المهمة في عملية البناء الاقتصادي والاجتماعي في بلدان العالم المختلفة وان على الزراعة ان تسد حاجة السكان من الغذاء حتى يتحقق الامن الغذائي.ويعد محصول الشلب من المحاصيل الصيفية المهمة التي تزرع في المناطق المروية من وسط وجنوب | The agricultural sector of the important sectors in the process of economic and social reconstruction in the different countries of the world and on agriculture to meet the needs of the population of food so food security is achieved. The rice crop of the important summer crops grown in irrigated areas of central and southern Iraq, one of the important crops in food intake in Iraq depends upon the Iraqi individual in the food and meals. This research aims to predict the production of rice crop in Iraq for the period (from 2016 to 2025) through the time - series models using the Box and Jenkins models, which requires diagnosing the appropriate model and appropriate grade for this model to represent the phenomenon studied and based on annual data for the period analyzed (from 1975 to 2015), which was obtained from the Central Bureau of Statistics. After analyzing the data using statistical software gretl and address some of the problems that could have exposed the data and obtain the appropriate models to represent the production of rice, and in the model of the time series were tested stability of the chain in terms of both the contrast and the Mediterranean have shown results of the analysis after the trade - offs between Box and Jenkins models for series production of rice the adoption of standard Akaike Information Criterion (AIC) and the standard Schwartz Bayesian Criterion (SBC) and standard Hannan - Quinn (H - Q) to be after that model representative for the production of rice crop in Iraq is ARIMA (2,1,2) and test the independence of the wrong paradigm and then predict for the years (2016 - 2025).
