Model identification and parameter estimation of stochastic linear models.
It is well known that when the input variables of the linear regression model are subject to noise contamination, the model parameters can not be estimated uniquely. This, in the statistical literature, is referred to as the identifiability problem of the errors-in-variables models. Further, in line...
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| Language: | en |
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The University of Arizona.
1990
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| Online Access: | http://hdl.handle.net/10150/185037 |