Modern adjustment methods take account of the fact that observations are not all normally distributed. They use the methods of robust statistics, which provide good results even when some observations contain gross errors. This paper describes the current state of development of these methods and their practical application in Switzerland.
Alessandro Carosio
Fuzzy Techniques Robust Statistics