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Part of the book series: Lecture Notes in Statistics ((LNS,volume 69))

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Abstract

In this chapter we shall consider the functional relationship,

$$B^T \xi = 0\quad \quad (i = 1,2,..,n)$$
(3.1)
$$\textup{B}^\textup{T} \xi = 0 (\textup{i}=1, 2, .., \textup{n})$$

where B(βjk) is a (p × m) matrix of coefficients which determine the p-m dimensional subspace of the p-dimensional ξ space defined by (3.1). Some of these coefficients can be free and unknown parameters whereas others have to be fixed in advance in order to ensure a unique relationship between the free parameters and the subspace they define, i.e. to ensure identifiability (cf. section II).

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© 1992 Springer-Verlag Berlin Heidelberg

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Nagelkerke, N.J.D. (1992). The Multivariate Linear Functional Relationship. In: Maximum Likelihood Estimation of Functional Relationships. Lecture Notes in Statistics, vol 69. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2858-5_3

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  • DOI: https://doi.org/10.1007/978-1-4612-2858-5_3

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-97721-8

  • Online ISBN: 978-1-4612-2858-5

  • eBook Packages: Springer Book Archive

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