تهدف هذه الدراسة إلى تقدير معاملات

تهدف هذه الدراسة إلى تقدير معاملات الارتباط بين السلاسل الزمنية والمتمثلة بمعدلات الوفيات لعدد من المحافظات العراقية والتوصل للسلاسل الزمنية (المحافظات) التي بينها ارتباطات قوية وجعلها في سلسلة زمنية واحدة ومن ثم تطبيق مراحل تحليل السلاسل الزمنية (بوكس-جنكيز ) لكل سلسلة زمنية (محافظة) على حدا وبين مجموعة من السلاسل الزمنية (محافظات) والحصول على أفضل نموذج لتقدير المعالم وبالتالي الحصول على أفضل تنبؤ مستقبلي .

Results (English) 1:

This study aims to estimate the correlations between time series of mortality for a number of provinces and the time series (the provinces) that including strong links and make them into a single time series and then applying the stages of time series analysis (Bux. Ghengis) for each time series (gov) separately and a set of time series (provinces) and get the best model to estimate the parameters and thus get better future prediction.

Results (English) 2:

This study aims to estimate the correlation coefficients between the time series of mortality for a number of Iraqi provinces and reach time series (provinces) that include strong links and make them into a single time series and then apply the stages of time-series analysis (Box-Jenkins) for each time series (prefecture) and at the end of a set of time-series (provinces) and get the best model to estimate parameters and thus get a better predict the future.

Results (English) 3:

The aim of this study was to estimate the correlation between time series of mortality rates in a number of governorates (prefectures) and a time series which has strong ties to make them in the single time series and then apply time series analysis stages (box Jenkins) for each time series (conservative) for a and a set of chains. The temporal (provinces) and get the best prediction model, estimating the parameters thus obtained. .