Using quadratic form ratio multiple test to estimate linear regression model parameters in big data with application: child labor in Iraq
Other Title(s)
استخدام اختبار النسبة للصيغة التربيعية لتقدير انموذج الانحدار الخطي للبيانات الكبيرة مع تطبيق عملي
Joint Authors
Hammud, Munaf Yusuf
Salih, Ahmad Mahdi
Source
Journal of Economics and Administrative Science
Issue
Vol. 28, Issue 131 (31 Mar. 2022), pp.167-179, 13 p.
Publisher
University of Baghdad College of Administration and Economics
Publication Date
2022-02-28
Country of Publication
Iraq
No. of Pages
13
Main Subjects
Topics
Abstract 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
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes appendix : p. 22
Record ID
BIM-1339972