This monograph is concerned with the fitting of linear relationships in the context of the linear statistical model. As alternatives to the familiar least squared residuals procedure, it investigates the relationships between the least absolute residuals, the minimax absolute residual and the least median of squared residuals procedures. It is intended for graduate students and research workers in statistics with some command of matrix analysis and linear programming techniques.
Single source of information about this important area of research
Wide-ranging discussion of least absolute residuals, minimax residual and least median of squared residuals fitting procedures
Several new results not previously published in book form