Some issues on Errors-in-Variables Identification
نویسندگان
چکیده
The Errors-in-Variables context is a challenging environment well known from many years that has seen an increasing amount of research and, consequently, of new results, only in relatively recent times. One of the appealing features of EIV models consists in their intrinsic capability of describing real processes and in relying only on limited sets of a–priori assumptions [24, 25]. These features suggest the use of EIV models in all applications like, for instance, diagnosis, where the interest is focused on a realistic description of a process more than on other features like prediction.
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