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 method [35].

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).