Abstract
The nonlinear regression model
considered in this chapter is multivariate, i.e. the vector of unknown parameters
is multidimensional. It is assumed that ϑ ∈ Θ, and that the (known) parameter space Θ is a subset of R m such that
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© 1993 Andrej Pázman
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Pázman, A. (1993). The structure of a multivariate nonlinear regression model and properties of L 2 estimators. In: Nonlinear Statistical Models. Mathematics and Its Applications, vol 254. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-2450-0_5
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DOI: https://doi.org/10.1007/978-94-017-2450-0_5
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-4262-0
Online ISBN: 978-94-017-2450-0
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