Using quadratic form ratio multiple test to estimate linear regression model parameters in big data with application: child labor in Iraq

العناوين الأخرى

استخدام اختبار النسبة للصيغة التربيعية لتقدير انموذج الانحدار الخطي للبيانات الكبيرة مع تطبيق عملي

المؤلفون المشاركون

Hammud, Munaf Yusuf
Salih, Ahmad Mahdi

المصدر

Journal of Economics and Administrative Science

العدد

المجلد 28، العدد 131 (31 مارس/آذار 2022)، ص ص. 167-179، 13ص.

الناشر

جامعة بغداد كلية الإدارة و الاقتصاد

تاريخ النشر

2022-02-28

دولة النشر

العراق

عدد الصفحات

13

التخصصات الرئيسية

الاقتصاد و التجارة

الموضوعات

الملخص EN

The current paper proposes a new estimator for the linear regression model parameters under Big Data circumstances.

From the diversity of Big Data variables comes many challenges that can be interesting to the researchers who try their best to find new and novel methods to estimate the parameters of linear regression model.

Data has been collected by Central Statistical Organization IRAQ, and the child labor in Iraq has been chosen as data.

Child labor is the most vital phenomena that both the society and education are suffering from and it affects the future of our next generation.

Two methods have been selected to estimate the parameter of linear regression model, one Covariate at a Time Multiple Testing OCMT.

Moreover, the Euclidian Distance has been used as a comparison criterion among the three methods

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Salih, Ahmad Mahdi& Hammud, Munaf Yusuf. 2022. Using quadratic form ratio multiple test to estimate linear regression model parameters in big data with application: child labor in Iraq. Journal of Economics and Administrative Science،Vol. 28, no. 131, pp.167-179.
https://search.emarefa.net/detail/BIM-1339972

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Salih, Ahmad Mahdi& Hammud, Munaf Yusuf. Using quadratic form ratio multiple test to estimate linear regression model parameters in big data with application: child labor in Iraq. Journal of Economics and Administrative Science Vol. 28, no. 131 (Mar. 2022), pp.167-179.
https://search.emarefa.net/detail/BIM-1339972

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Salih, Ahmad Mahdi& Hammud, Munaf Yusuf. Using quadratic form ratio multiple test to estimate linear regression model parameters in big data with application: child labor in Iraq. Journal of Economics and Administrative Science. 2022. Vol. 28, no. 131, pp.167-179.
https://search.emarefa.net/detail/BIM-1339972

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes appendix : p. 22

رقم السجل

BIM-1339972