Global weight

The global weighted mean of Z can also be shown to be zero ... 

The global weighted sum of squares c of the transformed data Z can be shown to be equal to the global interaction 52 between rows and columns ... 

The trace of A is equal to the traces of the weighted cross-product matrices, which in turn are equal to the global weighted sum of squares c or global interaction 5 (eq. (32.27)) ... 

One comprehensive study of surface DMS concentrations was that of Andreae and Raemdonck (42). Hie concentration of DMS was determined in 628 surface seawater samples, collected at 0.05 and 3 m. From this data base they estimated that a global weighted-mean DMS concentration in surface waters is 3.2 nmol I/1, higher than the values obtained in earlier studies (21.441. They noted that the DMS concentrations varied significantly from one location to the next and suggested that this patchiness might be related to primary production and also species variations from locale to locale. The correlation between chlorophyll a and DMS concentration for 225 samples was r = 0.53, = 0.001. 

MacDonald JS. Human carcinogenic risk evaluation. Part IV Assessment of human risk of cancer from chemical exposure using a global weight-of-evidence approach. Toxicol Sci 2004 82 3-8. 

Global weighted walk numbers Wm,jvI2,M3 are obtained applying the - Wiener operator )/V to the walk matrix as ... 

Global weighted walk numbers Wmi.Mj.Mj are obtained applying the... 

The weights depend on the particular transformation used. In general, when the experimental data y are transformed to some new function Y(as in the above example, where Y= In y), the corresponding global weight w will be given by... 

In general, then, there are two quite different reasons for using weighted least squares (a) global weights may be required when the data analysis involves a transformation of the dependent variable, while (b) individual weights are needed when we consider data of different (but known)... 

The unweighted Lineweaver-Burk and Hanes plots yield different answers even though they analyze the same data set. On the other hand, when we use appropriate global weighting factors, both methods yield identical results, as they should. Need we say more about the importance of proper weight-... 

Criteria (Criteria Weight) Sub-Criteria Sub-Criteria Weight Global Weight (Criteria Weight x Sub-Criteria Weight)... 

Indesit C. Partner 1 Partner 2 Partner 3 Global weight... 

The pseudo code 1 illustrates how the information of the global index /q can be obtained from the local indices and through the global index matrix, GM (12.514). Further, the pseudo code 1 defines the global weight matrix A (12.482) based on the local weights and. The computation of the boundary matrix (12.526) is also illustrated. 

Pseudo code 1 Generation of the global matrix [GM], boundary condition matrix [5], and global weight matrix [zl]... 

In the course of the iterative procedure, global weights are updated while the algorithm s convergence criterion is not fulfilled. The convergence criterion is defined as the difference between the norms of the regression coefficients obtained in two consecutive steps. The PRM algorithm can be presented as ... 

Recalculate the global weights based on the interim model. 

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