![](/images/graphics-bg.png)
Robust tests for the mean difference in paired data by using bootstrap resampling technique
المؤلفون المشاركون
Rashid, Huda A.
Ghadban, Ghufran A.
المصدر
Ibn al-Haitham Journal for Pure and Applied Science
العدد
المجلد 34، العدد 3 (30 سبتمبر/أيلول 2021)، ص ص. 73-86، 14ص.
الناشر
جامعة بغداد كلية التربية ابن الهيثم
تاريخ النشر
2021-09-30
دولة النشر
العراق
عدد الصفحات
14
التخصصات الرئيسية
الموضوعات
الملخص EN
The paired sample t-test for testing the difference between two means in paired data is not robust against the violation of the normality assumption.
In this paper, some alternative robust tests have been suggested by using the bootstrap method in addition to combining the bootstrap method with the W.
M test.
Monte Carlo simulation experiments were employed to study the performance of the test statistics of each of these three tests depending on type one error rates and the power rates of the test statistics.
The three tests have been applied on different sample sizes generated from three distributions represented by Bivariate normal distribution, Bivariate contaminated normal distribution, and the Bivariate Exponential The paired sample t-test for testing the difference between two means in paired data is not robust against the violation of the normality assumption.
In this paper, some alternative robust tests have been suggested by using the bootstrap method in addition to combining the bootstrap method with the W.
M test.
Monte Carlo simulation experiments were employed to study the performance of the test statistics of each of these three tests depending on type one error rates and the power rates of the test statistics.
The three tests have been applied on different sample sizes generated from three distributions represented by Bivariate normal distribution, Bivariate contaminated normal distribution, and the Bivariate Exponential distribution.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ghadban, Ghufran A.& Rashid, Huda A.. 2021. Robust tests for the mean difference in paired data by using bootstrap resampling technique. Ibn al-Haitham Journal for Pure and Applied Science،Vol. 34, no. 3, pp.73-86.
https://search.emarefa.net/detail/BIM-1255657
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ghadban, Ghufran A.& Rashid, Huda A.. Robust tests for the mean difference in paired data by using bootstrap resampling technique. Ibn al-Haitham Journal for Pure and Applied Science Vol. 34, no. 3 (2021), pp.73-86.
https://search.emarefa.net/detail/BIM-1255657
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ghadban, Ghufran A.& Rashid, Huda A.. Robust tests for the mean difference in paired data by using bootstrap resampling technique. Ibn al-Haitham Journal for Pure and Applied Science. 2021. Vol. 34, no. 3, pp.73-86.
https://search.emarefa.net/detail/BIM-1255657
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 86
رقم السجل
BIM-1255657
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
![](/images/ebook-kashef.png)
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
![](/images/kashef-image.png)