Add to ORKGGeneralized matrix inversion theory used in formulating recursive algorithm for least squares parameter estimatio
Square root information estimation, starting from its beginnings in least-squares parameter estimati...
A data reduction method for computing effect of additional observation on previous least-squares est...
We propose an algorithm to select parameter subset combinations that can be estimated using an ordin...
Efficiency of computer programs to calculate generalized inverse of arbitrary real matri
The introductory chapters in this paper review the concept of a generalized inverse for arbitrary ma...
Classical iterative methods in nonlinear regression are reviewed and improved upon. This is accompli...
The least-squares transformation of a discrete-time multivariable linear system into a desired one b...
The approximate inversion of an internally unknown linear system, given by its impulse response sequ...
Least squares method theory and application to curve fitting, data smoothing, and solution of overde...
This paper presents utilizes Least-Squares Algorithm to obtain more accurate linear models of nonlin...
Theory of linear estimation and applicability to problems of smoothing, filtering, extrapolation, an...
AbstractUsing a unified approach, simple derivations for the recursive determination of different ty...
Inverse matrices applied to analysis and minimization of systems of linear equation
AbstractNumerous theoretical problems have been simplified and, in many cases, unified via the theor...
Let A be a m × n matrix and a be an m × 1 vector. In this paper, the authors have obtained formulae ...
Square root information estimation, starting from its beginnings in least-squares parameter estimati...
A data reduction method for computing effect of additional observation on previous least-squares est...
We propose an algorithm to select parameter subset combinations that can be estimated using an ordin...
Efficiency of computer programs to calculate generalized inverse of arbitrary real matri
The introductory chapters in this paper review the concept of a generalized inverse for arbitrary ma...
Classical iterative methods in nonlinear regression are reviewed and improved upon. This is accompli...
The least-squares transformation of a discrete-time multivariable linear system into a desired one b...
The approximate inversion of an internally unknown linear system, given by its impulse response sequ...
Least squares method theory and application to curve fitting, data smoothing, and solution of overde...
This paper presents utilizes Least-Squares Algorithm to obtain more accurate linear models of nonlin...
Theory of linear estimation and applicability to problems of smoothing, filtering, extrapolation, an...
AbstractUsing a unified approach, simple derivations for the recursive determination of different ty...
Inverse matrices applied to analysis and minimization of systems of linear equation
AbstractNumerous theoretical problems have been simplified and, in many cases, unified via the theor...
Let A be a m × n matrix and a be an m × 1 vector. In this paper, the authors have obtained formulae ...
Square root information estimation, starting from its beginnings in least-squares parameter estimati...
A data reduction method for computing effect of additional observation on previous least-squares est...
We propose an algorithm to select parameter subset combinations that can be estimated using an ordin...