Sentence examples for estimating the weight from inspiring English sources

By estimating the weight coefficient, a reverse Hardy-Hilbert-type inequality is proved.

In [4 20], some strengthened and generalized results of (1.1) and (1.2) have been given by estimating the weight coefficient (( 1+1/n ) ^{n}).

By introducing a real number homogeneous kernel and estimating the weight function through the real function techniques, a half-discrete inequality with a best constant factor is established.

Recently, Yang summarized the methods of introducing parameters and estimating the weight coefficients to extend Hilbert-type inequalities for the past 100 years.

The main purpose of this paper is to build a new Hilbert-type inequality with homogeneous kernel of degree 0, by estimating the weight function.

We derive a strengthenment of a Hardy-Hilbert type inequality by using the Euler-Maclaurin expansion for the zeta function and estimating the weight function effectively.

A new method of estimating the weights of large-bodied animals hints that some dinosaurs may have been considerably lighter than scientists realized.

Next, a specific portion of the data stored (10%% as discussed above) is used for estimating the weighting coefficients of the predictor for L=2.

The constant b reflects the maximum error we are willing to commit when estimating the weights w.

In estimating the weights in WLS, it was found that both linear and quadratic models generated negative estimates of the standard deviation of a blank.

Most of these weighting approaches use one factor or more factors without considering the correlation between them to estimate the weight matrix, possibly leading to imprecise weight estimation.