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

Economy

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