Least squares in identification theory
Vladimír Strejc (1977)
Kybernetika
Similarity:
Displaying similar documents to “A square root filter for real time multivariate regression”
Least squares in identification theory
On optimum experimental design for ridge estimates
Emil Horváth (1988)
Kybernetika
Similarity:
On the pseudoinverse of a sum of symmetric matrices with applications to estimation
Pavel Kovanic (1979)
Kybernetika
Similarity:
An eigenvector pattern arising in non linear regression.
Carles Maria Cuadras (1990)
Qüestiió
Similarity:
Let A = (a) be an n x n matrix defined by a = a = i, i = 1,...,n. This paper gives some elementary properties of A and other related matrices. The eigenstructure of A is conjectured: given an eigenvector v of A the remaining eigenvectors are obtained by permuting up to sign the components of v. This problem arises in a distance based method applied to non linear regression.