The Comparison Between Maximum Weighted and Trimmed Likelihood Estimator of The Simple Circular Regression Model
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Nov 1, 2019
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Ehab A. Mahmood
University of Babylon, Iraq
Habshah Midi
University Putra Malaysia, Serdang, Malaysia
Abdul Ghapor Hussin
National Defense University of Malaysia, Kuala Lumpur, Malaysia
Abstract
The Maximum Likelihood Estimator (MLE) was used to estimate unknown parameters of the simple circular regression model. However, it is very sensitive to outliers in data set. A robust method to estimate model parameters is proposed.
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