called the resultant mean-map of m1, m2 and m3.
At first we define the resultant mean-map of three means as in [4], where the properties of the resultant mean-map are studied.
The "Means" columns indicate the resultant mean for each T-Test.
The resultant mean velocity field shows a remarkable phase gradient around the Atostugawa fault system.
A study investigating the elementary properties of the resultant mean-map has been stated in [1].
In [8], the author defined the resultant mean-map concept for bivariate means as a good tool for introducing the stability and stabilizability notions.
To this end, at the FC, to form the estimate of the source and to characterize the resultant mean-squared distortion, we proceed as follows.
The resultant mean reliability intraclass correlation co-efficient (ICC) obtained was that of 0.948, with the 95%% confidence interval ranging from 0.871 to 0.999.
For all a, b > 0, define R ( m 1, m 2, m 3 ) ( a, b ) = m 1 ( m 2 ( a, m 3 ( a, b ) ), m 2 ( m 3 ( a, b ), b ) ), called the resultant mean-map of m 1, m 2 and m 3. A study investigating the elementary properties of the resultant mean-map was stated in [1].
Section 4 is devoted to extending the resultant mean-map, introduced by the second author in an earlier paper for means, to positive maps in the aim to state conveniently the generalized stabilizability in Section 5.
