Masithah (2012) Penerapan Metode Robust Regression On Ordered Statistics (Ros) Pada Data Tersensor Kiri Dengan Outlier (Studi Kasus Prediksi Usia Pertama Pasien Mengalami Repetitive Strain Injury). Thesis thesis, UNIVERSITAS AIRLANGGA.
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Abstract
Robust Regression is the regression method that used if distribution from error abnormal and or some outlier that affected to model. This method is important tool to analyze data that affected by outlier with the result model that robust or resistant to outlier. Resistant estimate relatively not influence by large change on little part of data or little change on large part of data. Some estimation method in robust regression are M-estimation, Least Trimmed Square (L TS), MM estimation, S-estimation anA Least Mean Square (LMS). This research use M-Estimation and Least Trimmed Square (LTS) estimation method. Best method determine with compare value of determination coefficient and value of Sum of Square Error (SSE) at approach that used. With founding best method to this robust regression could be predict patient age of onset to repetitive strain injury. Commonly, RSI patient don't know when the onset of RSI. Variables that used to fmd model are patient age of onset when diagnosed RSI and work duration. Base on analysis results, was found that the best model to predict patient age of onset to Repetitive Strain Injury is: Y = -8,0283 + 1,2751 Xl. This best model found with Least Trimmed Square (L TS) approach.
| Item Type: | Thesis (Thesis) | |||||||||
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| Additional Information: | TKM 45/12 mas p | |||||||||
| Uncontrolled Keywords: | age of onset, work duration, RSI, Robust regression | |||||||||
| Subjects: | R Medicine > RA Public aspects of medicine > RA1-1270 Public aspects of medicine > RA421-790.95 Public health. Hygiene. Preventive medicine | |||||||||
| Divisions: | 10. Fakultas Kesehatan Masyarakat > Magister Ilmu Kesehatan Masyarakat | |||||||||
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| Depositing User: | indah rachma cahyani | |||||||||
| Date Deposited: | 04 May 2021 05:16 | |||||||||
| Last Modified: | 04 May 2021 05:16 | |||||||||
| URI: | http://repository.unair.ac.id/id/eprint/106643 | |||||||||
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