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بررسي و تطبيق قدرت تخمين مدل هاي يادگيري ماشين و مدل هاي آماري در پي شبيني جهت تغييرات اجزاي سود و انتخاب مدل بهينه

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Title: بررسي و تطبيق قدرت تخمين مدل هاي يادگيري ماشين و مدل هاي آماري در پي شبيني جهت تغييرات اجزاي سود و انتخاب مدل بهينه
Alternate Title: Comparing the Estimation Power of Machine Learning Models and Statistical Models in Predicting Profit Component Changes and Selecting the Optimal Model.
Authors: مريم ايزدي1 m.izadi@urmia.ac.ir, علي آشتاب2 a.ashtab@urmia.ac.ir, اكبر زواري رضايي3 a.zavarirezaei@urmia.ac.ir
Source: Financial Research Journal (FRJ). 2025, Vol. 27 Issue 1, p30-57. 28p.
Database: Business Source Ultimate
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PubType: Academic Journal
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  Data: بررسي و تطبيق قدرت تخمين مدل هاي يادگيري ماشين و مدل هاي آماري در پي شبيني جهت تغييرات اجزاي سود و انتخاب مدل بهينه
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  Data: Comparing the Estimation Power of Machine Learning Models and Statistical Models in Predicting Profit Component Changes and Selecting the Optimal Model.
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      – Code: per
        Text: Persian
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      – TitleFull: بررسي و تطبيق قدرت تخمين مدل هاي يادگيري ماشين و مدل هاي آماري در پي شبيني جهت تغييرات اجزاي سود و انتخاب مدل بهينه
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              Text: 2025
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