Detection and treatment of outliers in data sets

Other Title(s)

الكشف و معالجة الشواذ في مجاميع البيانات

Joint Authors

Chawsheen, Tara Ahmad H.
Lutfi, Ivan Subhi

Source

Iraqi Journal of Statistical Science

Issue

Vol. 6, Issue 9 (31 Mar. 2006), pp.57-74, 18 p.

Publisher

University of Mosul College of Computer Science and Mathematics

Publication Date

2006-03-31

Country of Publication

Iraq

No. of Pages

18

Main Subjects

Mathematics

Topics

Abstract AR

في هذا البحث نحاول التعرف على الشواذ و تحديد مستوياته و التحري عنه و كيفية التعامل معه في حالة وجوده في البيانات, ذلك بالاعتماد على طريقة المعرفة بطريقة بوكس - ويسكر - بلوت و التي تعتبر من أفضل الطرائق للتحري و التعامل مع الشواذ.

و قد توصل الباحثان إلى أن هذه الطريقة هي أنجح الطرائق المستخدمة في هذا البحث و تنسجم مع البحث و فرضيته.

Abstract EN

In this paper, we shall try to determine outliers and pinpoint its source of existence by using Box-Whisker plots technique which is an effective approach to detect and treat outliers.

Thus the researchers prove that the Box- Whisker-Plot is the most effective method among other methods used in this research which is the hypothesis of the paper.

American Psychological Association (APA)

Chawsheen, Tara Ahmad H.& Lutfi, Ivan Subhi. 2006. Detection and treatment of outliers in data sets. Iraqi Journal of Statistical Science،Vol. 6, no. 9, pp.57-74.
https://search.emarefa.net/detail/BIM-350673

Modern Language Association (MLA)

Chawsheen, Tara Ahmad H.& Lutfi, Ivan Subhi. Detection and treatment of outliers in data sets. Iraqi Journal of Statistical Science Vol. 6, no. 9 (2006), pp.57-74.
https://search.emarefa.net/detail/BIM-350673

American Medical Association (AMA)

Chawsheen, Tara Ahmad H.& Lutfi, Ivan Subhi. Detection and treatment of outliers in data sets. Iraqi Journal of Statistical Science. 2006. Vol. 6, no. 9, pp.57-74.
https://search.emarefa.net/detail/BIM-350673

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 73-74

Record ID

BIM-350673