Robust Statistics, 2nd edition by P.J. Huber & E.M. Ronchetti [book review]

Robust statistical techniques are widely used by statisticians for estimating the parameters of a model if the assumptions regarding the model are not satisfied. These techniques are not unduly affected by outliers or departures from model assumptions and thus increase the accuracy of the inference. The first edition of this seminal book appeared in 1981 and since then it has been the leading book on this topic, providing an authoritative and systematic treatment of robust statistics for researchers and practitioners both. However,significant development has taken place in this field in the last 30 years which has warranted this second edition. This book provides an up-to-date exposition and comprehensive treatment of robust statistics. It will be helpful to graduate students and applied statisticians working in the area of time series and statistical and econometric modelling as well as researchers in the areas of engineering,medicine and biology where robust statistics are widely used.