Principal Component Analysis (PCA) untuk Mengatasi Multikolinieritas terhadap Faktor Angka Kejadian Pneumonia Balita di Jawa Timur Tahun 2014
Correlation between independent variables in multiple linear regression model called multicollinearity. One of the assumptions of multiple linear regression free from multicollinearity problem. Principal Component Analysis (PCA) method in this study aims to overcome the existence of multicollinearit...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Airlangga
2018-10-01
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| Series: | Jurnal Biometrika dan Kependudukan |
| Subjects: | |
| Online Access: | https://e-journal.unair.ac.id/JBK/article/view/4833 |