Mohammad Ahmed Abbas

• Master of Statistics
• University of Baghdad

Segmented regression is one of the statistical methods that are used to represent and model phenomena that go through several transitional stages. The basic concept of segmented regression depends on the presence of a certain point in the explanatory variable called (change point), and this point is shared and continuous between the ends of each tw...

In this research, the segmented regression model with multiple change points will be dealt with. the maximum likelihood estimator (MLE) and the two methods of robust repetitive weights (IRWm), (IRWs) will be used to estimate the model parameters and change points and then compare between these methods to choose the best method between them. A simul...

Segmented regression consists of several sections separated by different points of membership, showing the heterogeneity arising from the process of separating the segments within the research sample. This research is concerned with estimating the location of the change point between segments and estimating model parameters, and proposing a robust...

Segmentation has vital employment in regression analysis where data have some change point. Traditional estimation methods such as Hudson, D.J.;(1966) and Muggeo, V. M., (2003) have been reviewed. But these methods do not take into account robustness in the presence of outliers values. However, third method was used as rank-based method, where the...