To overcome this problem, we propose the mean-weight scheme, in which the weight factor W is given by the following algorithm in Table 4.
Postlethwaite and Mills (1970) studied the frustum and proposed the mean crushing force calculation for external collapse.
A descriptor has been proposed, the mean penetration depth, to characterize the deposit profiles of metals in hydrodemetallation catalysts.
In order to summarize all the numerical results, a measure of the reliability of the prediction of the models is proposed: the mean absolute BER difference for a given code and a given error probability denoted as Γ l, p).
Using the maximum likelihood estimation (MLE) coupled with the EM-algorithm ([Dempster et al. 1977]), Pepe et al. ([1994]) proposed the mean score method for the regression model P β (Y|X) when both X and A are discrete.
The authors, therefore, proposed the mean lung weights to be 395 and 445 g for the left and right lungs (total 840 g), respectively, for men and 299 and 340 g (total 639 g), respectively, for women.
Therefore, we propose the general mean and variance.
Yezzi and Tsai [36] propose the binary mean model: E binary = − 1 2 ( c 1 − c 2 ) 27 (27).
Compulsory membership is proposed, but the means for covering the informal sector have not been resolved.
Our results lead us to propose that the mean data rendered by UBC18, SamDC, Ubi4, and Ubi10 be used to normalize gene expression values in Brachypodium more accurately.
