Robust algorithms for multiphase regression models

•Robust algorithms are proposed for estimating multiphase regression models.•M-estimation with a resistant criterion helps relieve the effects of outliers.•The proposed algorithms are resistant to outliers and heavy-tailed distributions.•A modified procedure present better tolerance to high leverage outliers.•Numerous examples show the effectiveness and usefulness of the proposed method.