Robust statistics–how not to reject outliers. Part 1. Basic concepts
The subject of outliers has been controversial whenever analytical data have been processed. Modern statistical theory provides an alternative to outlier rejection, in which outlying observations are retained but given less weight. This approach is known as robust statistics and is beginning to find favour with analytical chemists. An introduction to robust statistics is given and some examples are described.