APPLYING TIME SERIES ANALYSIS USING VARIOUS FORECASTING METHODS ON MONTHLY BASED ( SEASONAL) DATA OF EGYPT
| المصدر: | المجلة العلمية للاقتصاد والتجارة |
|---|---|
| الناشر: | جامعة عين شمس - كلية التجارة |
| المؤلف الرئيسي: | Warraquiy, Ashraf A. (Author) |
| مؤلفين آخرين: | Hassan, Ismail A. (Co-Author) , Hosny, Amira (Co-Author) , Badr, Amr (Co-Author) |
| المجلد/العدد: | ع4 |
| محكمة: | نعم |
| الدولة: |
مصر |
| التاريخ الميلادي: |
2013
|
| الشهر: | أكتوبر |
| الصفحات: | 157 - 192 |
| ISSN: |
2636-2562 |
| رقم MD: | 664641 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | EcoLink |
| مواضيع: | |
| رابط المحتوى: |
عدد مرات التحميل
16
| المستخلص: |
Six forecasting models have been built using Matlaband MS Excel applied on various Market datasets of Egypt published on the website of Data Market. All data used are monthly based. In this research six datasets have been tested. After applying the six forecasting models on these datasets, various accuracy measures have been detected after using Microsoft solver on mean absolute deviation (MAD) to be minimized via using , *. and as inputs. The data pattern has used to recommend certain model to analyze certain datasets or certain data pattern. Forecasting models have built in Matlab and Microsoft Excel to compare the accuracy and the results were typical |
|---|---|
| ISSN: |
2636-2562 |
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