Sentence examples for estimation of the least from inspiring English sources

The generic function 'lm' was used for estimation of the least squares linear regression model.

Estimation of the least total sample size was performed using the 'Logrank Test Power Analysis' based on Lakatos Edward's method (Lakatos, 1988, 2002).

Gauss-Markov theorem reduces linear unbiased estimation to the Least Squares Solution of inconsistent linear equations while the normal equations reduce the second one to the usual solution of consistent linear equations.

Estimation of the LINE least-square means and measures of variation (heritability and the additive and residual coefficients of variation) for fecundity in the absence of infection were estimated for each environment separately by entering the effect of LINE as a random factor into the model.

From this perspective, three types of data panel estimation are proposed: the first is the estimation of ordinary least squares (OLS) with the grouped panel; the second and third take into account the time variation, by the inclusion in the model of random effects and fixed effects, respectively.

One of the most common approaches of regression coefficient estimation is the Least Squares (LS) method.

We apply a robust estimation by the criteria of the least absolute deviation to estimate coda Q−1 using Eq. (1) (Hiramatsu et al., 2000).

The estimation accuracy is further increased by applying the Maximum Likelihood Estimation (MLE) in spite of the Least Square (LS) method [17].

Additionally, it was evidenced that the number of points used for the estimation of linear least squares model parameters is of capital importance.

Instead of a simple least squares method, robust estimation by the criteria of the least absolute deviation was deemed more appropriate to fit Equation 1 to A C (f|t) for the estimation of coda Q (Hiramatsu et al. 2000).

The results show that the robust individual regression estimation is more precise than that of the least squares estimation or the proposed SIMIR approach, but the coincident outlier index that was presented in the previous section is more reliable and realistic.