Oktsa Dwika Rahmashari

 

Biography

Oktsa Dwika Rahmashari is a statistics graduate with a background in applied statistics. She earned her Bachelor of Science in Statistics from Universitas Gadjah Mada, Indonesia. She later completed her Master of Science in Applied Statistics at Khon Kaen University, Thailand, under the Khon Kaen University Scholarship for ASEAN and GMS Countries’ Personnel.

Her academic focus lies in robust statistics, outlier detection, and statistical modelling. Her research emphasizes improving the robustness of beta regression models and developing methods for detecting outliers in various regression frameworks.

 

Research interests

Her research interests lie in applied statistics and data science, with particular emphasis on robust statistics, especially outlier detection methods and statistical modelling.Her research interests lie in applied statistics and data science, with particular emphasis on robust statistics, especially outlier detection methods and statistical modelling.

 

PhD Students 

1. –

 

Master Students 

1. –

 

Undergraduate Students 

1. –

 

Publications

Selected Publications

1. Rahmashari OD, Srisodaphol W. Advanced outlier detection methods for enhancing beta regression robustness. Decision Analytics Journal. 2025;14:1–13.
2. Rahmashari OD, Srisodaphol W. BP-Pearson residual for detecting outliers in beta regression model. In: Advances in Internet, Data and Web Technologies (EIDWT 2025). Springer; 2025.
3. Chaitongdee T, Rahmashari OD, Srisodaphol W, et al. CDBER: A method for detecting outliers in linear-circular regression. Springer; 2025.
4. Chaitongdee T, Srisodaphol W, Rahmashari OD, et al. Enhanced outlier detection in linear-circular regression using circular distance and mean resultant length. Statistical Optimization & Information Computing. 2025.

She authored and co-authored around – articles and – book (see at the following links.)

Scopus Record –

Google Scholar –