Comparative study of outlier detection methods on multivariate eye data via multiple circular regression model

Author:

Ibrahim Safwati,Alkasadi Najla Ahmed,Yusoff Mohd Irwan,Zhe Leow Wai,Ramli Intan Mastura

Publisher

AIP Publishing

Reference33 articles.

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2. Notes on Pearson residuals and weighted likelihood estimating equations

3. S. S. Alshqaq, A. A. Ahmadini, and A. H. Abuzaid, “Some New Robust Estimators for Circular Logistic Regression Model with Applications on Meteorological and Ecological Data”. Mathematical Problems in Engineering, (2021).

4. M. I. Sidik, A. Rambli, Z. Mahmud, R. S. Redzuan and N. H. N. M Shahri, “The identification of outliers in wrapped normal data by using Ga statistics”. International Journal of Innovative Technology and Exploring Engineering, 8(4S), 181–189 (2019).

5. Circular data in biology: advice for effectively implementing statistical procedures

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1. ARDOD: adaptive radius density-based outlier detection;Evolutionary Intelligence;2024-06-22

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