There is a problem with least-squares
fitting based on minimisation of the sum-of-squares residuals.
We employ Monte Carlo simulations to validate the efficacy of the proposed procedure in comparison with the ordinary least-squares
method and Eadie-Hofstee, Hanes-Woolf and Lineweaver-Burk plots.
This level of accuracy is satisfactory for predicting the ICOP for use with the recursive least-squares
algorithm in this paper.
SHIN, Pseudo-spectral least-squares
method for the second-order elliptic boundary value problem, SIAM J.
is called the weighted least-squares
estimate of [beta].
Recently, Wang and Tang studied the identification algorithms for a class of linear-in-parameters single-input singleoutput (SISO) systems with colored noises using the recursive least-squares
Chen, "Iterative least-squares
solutions of coupled Sylvester matrix equations," Systems & Control Letters, vol.
Liu, "Hierarchical least-squares
based iterative identification for multivariable systems with moving average noises," Mathematical and Computer Modelling, vol.
The basic strategy of DPLSQ-SS is the same as that of DPLSQ: least-squares
fitting is used for parameter estimation and dynamic programming is used for minimizing the sum of least-squares
errors when adding and deleting edges.
First of all, the least-squares
method is recommended for degenerate and unstable problems.
Previous analyses of wait time to treatment within the Network for the Improvement of Addiction Treatment (NIATx) employed a conventional least-squares
regression analysis and estimated rates of change in the mean of the monthly averaged outcome variables (McCarty et al.
The loss of least-squares
fit property affects the visual appearance some what adversely (Figure 1).