Robustness Theory and ApplicationA preeminent expert in the field explores new and exciting methodologies in the ever growing field of robust statistics. Used to develop data analytical methods, which are resistant to outlying observations in the data while capable of detecting outliers, robust statistics is extremely useful for solving an array of common problems, such as estimating location, scale, and regression parameters. Written by an internationally recognised expert in the