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|a eng
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|b مصر
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|a Warraquiy, Ashraf A.
|9 343229
|e Author
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|a APPLYING TIME SERIES ANALYSIS USING VARIOUS FORECASTING METHODS ON MONTHLY BASED ( SEASONAL) DATA OF EGYPT
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260 |
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|b جامعة عين شمس - كلية التجارة
|c 2013
|g أكتوبر
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|a 157 - 192
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336 |
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|a بحوث ومقالات
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520 |
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|b 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
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653 |
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|a السلاسل الزمنية
|a التنبؤات المستقبلية
|a تكنولوجيا المعلومات
|a مصر
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700 |
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|9 343231
|a Hassan, Ismail A.
|e Co-Author
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700 |
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|9 343230
|a Hosny, Amira
|e Co-Author
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700 |
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|9 340250
|a Badr, Amr
|e Co-Author
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773 |
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|4 الاقتصاد
|4 الإدارة
|6 Economics
|6 Management
|c 036
|e Scientific Journal for Economic & Commerce
|f Al-Maġallah Al-ʿilmiyyah Lil-Iqtiṣād Wal Tiğārah
|l 004
|m ع4
|o 0527
|s المجلة العلمية للاقتصاد والتجارة
|v 043
|x 2636-2562
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856 |
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|u 0527-043-004-036.pdf
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|d y
|p y
|q y
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|a EcoLink
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|c 664641
|d 664641
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