Abstract
R p ⊗ R = CΣ(A)⊗ C(C′) R ⊗ C(C′)⊥ CΣ(A)⊥ ⊗ C(C′), where Rp (Rn) represent the whole space, CΣ(•) denotes column vector space with inner product defined via Σ−1, C(•) if the standard inner product is used, ⊗ denotes the tensor product of linear spaces and represents the orthogonal sum of linear spaces. The decomposition is illustrated in Fig. 1. The estimation of the mean ABC is performed through projection of the data on the subspace CΣ(A) ⊗ C(C′). The subspace of Rp ⊗ C(C′)⊥ and CΣ(A)⊥ ⊗ C(C′) are the spaces where residuals are constructed via projections, i.e.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
