Weighted mixture regression model based on t-distribution in the presence of a leverage point
The Expectation-Maximization (EM) algorithm is an efficient method for estimating the parameters of a mixture regression model in the presence of outliers in the Y-direction. Unfortunately, this method breaks down when leverage points are present in the dataset. The most common procedure used in the literature involves removing leverage points after identifying them with single detection methods. However, some authors have pointed out that single detection methods can be inaccurate and have therefore proposed multiple diagnostic approaches. This manuscript proposes