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The use of the simple liner correlation parameter in solving the problem of outliers

استخدام معامل الارتباط الخطي البسيط في حل مشكلة القيم الشاذة

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 Publication date 2017
and research's language is العربية
 Created by Shamra Editor




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he problem with study of the ways of multiple regression analysis is related to e to the understanding and the explanation of the complicated relations among variables which affect the studied phenomenon and the huge amount of the used data in particular some of this outliers. In this research we have studied and treated the outliers in case of having two or more non-significant parameter and we have made anew algorithm to solve the phenomenon outliers on the one hand and solving the problem of the significant of multiple regression.


Artificial intelligence review:
Research summary
تناول البحث مشكلة القيم الشاذة في نماذج الانحدار الخطي المتعدد، حيث تؤثر هذه القيم على دقة النتائج ومعنوية المعاملات. تم اقتراح خوارزمية جديدة لمعالجة هذه القيم الشاذة باستخدام معامل الارتباط الخطي البسيط. تم تطبيق الخوارزمية على بيانات عينة من الباحثين في الرياضيات، وأظهرت النتائج أن الخوارزمية تمكنت من تحسين دقة النموذج وجعل جميع المعاملات معنوية. أوصى الباحثون بضرورة تصفية البيانات من القيم الشاذة قبل إجراء أي دراسة لتحقيق نتائج دقيقة وصحيحة.
Critical review
دراسة نقدية: يعتبر البحث خطوة مهمة في معالجة مشكلة القيم الشاذة في نماذج الانحدار الخطي المتعدد، إلا أن هناك بعض النقاط التي يمكن تحسينها. أولاً، يمكن توسيع نطاق الدراسة لتشمل أنواع أخرى من النماذج الإحصائية. ثانياً، يمكن اختبار الخوارزمية المقترحة على مجموعات بيانات أكبر وأكثر تنوعاً للتحقق من فعاليتها في مختلف السيناريوهات. ثالثاً، يمكن تقديم تحليل أكثر تفصيلاً حول تأثير القيم الشاذة على مختلف أنواع المعاملات في النموذج. وأخيراً، يمكن تضمين مقارنات مع طرق أخرى لمعالجة القيم الشاذة لتقديم صورة شاملة عن فعالية الخوارزمية المقترحة.
Questions related to the research
  1. ما هي المشكلة الرئيسية التي يعالجها البحث؟

    يعالج البحث مشكلة القيم الشاذة في نماذج الانحدار الخطي المتعدد وتأثيرها على دقة النتائج ومعنوية المعاملات.

  2. ما هي الخوارزمية المقترحة في البحث؟

    الخوارزمية المقترحة تستخدم معامل الارتباط الخطي البسيط لمعالجة القيم الشاذة في البيانات.

  3. ما هي نتائج تطبيق الخوارزمية على البيانات؟

    أظهرت النتائج أن الخوارزمية تمكنت من تحسين دقة النموذج وجعل جميع المعاملات معنوية.

  4. ما هي التوصيات التي قدمها الباحثون في نهاية البحث؟

    أوصى الباحثون بضرورة تصفية البيانات من القيم الشاذة قبل إجراء أي دراسة لتحقيق نتائج دقيقة وصحيحة.


References used
Johnson Richard A. and Wichern , Dean w.Applied multivariate statistical Analysis , 6th ed . , pearson prentice Hall ,2007
NETREK J ., WASSERMAN W ., 1992 – M.KUTNER – Applied linear statistical models experimental designer by richarel .Irwin,P 255
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