Identification of Multiple Outliers in a Generalized Linear Model with Continuous Variables
المؤلفون المشاركون
Midi, Habshah
Rana, Sohel
Yee Peng, Loo
Fitrianto, Anwar
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-09-07
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
In the statistical analysis of data, a model might be awfully fitted with the presence of outliers.
Besides, it has been well established to use residuals for identification of outliers.
The asymptotic properties of residuals can be utilized to contribute diagnostic tools.
However, it is now evident that most of the existing diagnostic methods have failed in identifying multiple outliers.
Therefore, this paper proposed a diagnostic method for the identification of multiple outliers in GLM, where traditionally used outlier detection methods are effortless as they undergo masking or swamping dilemma.
Hence, an investigation was carried out to determine the capability of the proposed GSCPR method.
The findings obtained from the numerical examples indicated that the performance of the proposed method was satisfactory for the identification of multiple outliers.
Meanwhile, in the simulation study, two scenarios were considered to assess the validity of the proposed method.
The proposed method consistently displayed higher percentage of correct detection, as well as lower rates of swamping and masking, regardless of the sample size and the contamination levels.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yee Peng, Loo& Midi, Habshah& Rana, Sohel& Fitrianto, Anwar. 2016. Identification of Multiple Outliers in a Generalized Linear Model with Continuous Variables. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1112365
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yee Peng, Loo…[et al.]. Identification of Multiple Outliers in a Generalized Linear Model with Continuous Variables. Mathematical Problems in Engineering No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1112365
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yee Peng, Loo& Midi, Habshah& Rana, Sohel& Fitrianto, Anwar. Identification of Multiple Outliers in a Generalized Linear Model with Continuous Variables. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1112365
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1112365
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر