Abstract
This study approaches the least-squares method for simple linear regression model. The least-squares line does not comply with the data when there are outliers that have deceptive effects on the results in the dataset. The study aims to develop a method for obtaining a line that complies more with the data when there are outliers in the dataset.
Keywords
Applied mathematics Machine learning Simple linear regression Least-Squares method Outliers
References
- Miller I, Miller M. Mathematical Statistics, Prenttice-Hall, Inc, 1999 (Çev. Ümit Şenesen John E. Freund’dan Matematiksel İstatistik, Literatür Yayıncılık. 2007).
- Arslan İ. Python ile Veri Bilimi, Pusula Yayıncılık, Türkiye, 2020.
- Rousseeuw PJ, Leroy AM. Robust regression and outlier detection. John Wiley & Sons, 1987.
- Attaway S. Matlab A Practical Introduction to Programming and Problem Solving. 5th ed. Cambridge, USA, Butterwoth-Heinmann, 2019.
- Kubat C. Matlab Yapay Zeka ve Mühendislik Uygulamaları. 5. Baskı, İstanbul, Türkiye, Abaküs Kitap Yayın, 2021.
- Güneş A, Yıldız K. Matlab Matematik ve Grafik Programlama Dili. İstanbul, Türkiye, Türkmen Kitabevi, 1997.
- Verardi V, Croux C. “Robust regression in Stata”. The Stata Journal, 9(3), 439-453, 2009.
- Andersen R. Modern methods for robust regression (No. 152). Sage, 2008.
Abstract
References
- Miller I, Miller M. Mathematical Statistics, Prenttice-Hall, Inc, 1999 (Çev. Ümit Şenesen John E. Freund’dan Matematiksel İstatistik, Literatür Yayıncılık. 2007).
- Arslan İ. Python ile Veri Bilimi, Pusula Yayıncılık, Türkiye, 2020.
- Rousseeuw PJ, Leroy AM. Robust regression and outlier detection. John Wiley & Sons, 1987.
- Attaway S. Matlab A Practical Introduction to Programming and Problem Solving. 5th ed. Cambridge, USA, Butterwoth-Heinmann, 2019.
- Kubat C. Matlab Yapay Zeka ve Mühendislik Uygulamaları. 5. Baskı, İstanbul, Türkiye, Abaküs Kitap Yayın, 2021.
- Güneş A, Yıldız K. Matlab Matematik ve Grafik Programlama Dili. İstanbul, Türkiye, Türkmen Kitabevi, 1997.
- Verardi V, Croux C. “Robust regression in Stata”. The Stata Journal, 9(3), 439-453, 2009.
- Andersen R. Modern methods for robust regression (No. 152). Sage, 2008.
Details
| Primary Language | English |
|---|---|
| Subjects | Artificial Intelligence, Mathematical Sciences |
| Journal Section | Research Articles |
| Authors | |
| Publication Date | September 23, 2022 |
| Acceptance Date | July 1, 2022 |
| Published in Issue | Year 2022 |
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