Indeed, this framework allows to model basic variables as cumulative distribution functions, distribution-free probability boxes, possibility distributions or families of intervals provided by experts, while representing the dependence of the implied variables by means of copulas.
Ugly shoes, ugly feet, ugly smile, ugly hands, ugly dress, ugly laugh; headline material which emphasizes the implied variables meant to determine a person's worth," Zellweger wrote in a blog on 5 August for the Huffington Post.
Ugly shoes, ugly feet, ugly smile, ugly hands, ugly dress, ugly laugh; headline material which emphasizes the implied variables meant to determine a person's worth, and serve as parameters around a very narrow suggested margin within which every one of us must exist in order to be considered socially acceptable and professionally valuable, and to avoid painful ridicule.
The variable VAFs in different mutations from ctDNA implied variable clonality of different mutations.
Given the lack of quantitative information about reaction kinetics, a reasonable approach is to use Boolean models, which represent concentrations of proteins with a few discrete qualitative levels (strictly interpreted, the term "Boolean" implies variables can only take two values, but we use it in the more general sense that allows more than two discrete levels variables).
This implies variable amplitude and non-isothermal loading conditions (450 650 °C).
Flow heterogeneity derives from variable fracture aperture, which implies variable transmissivity (T).
Such a situation is far from real operating components, where elements are subjected to variable loadings implying variable displacement amplitudes.
The landscape-level differences in the water supplies sustaining these trees imply variable effects from shifts in winter-versus monsoon-related precipitation, and from climate change versus streamflow or groundwater management.
(4) H X = 1 2 log 2 πe n C, (5) I X, Y = 1 2 log C X · C Y C X, Y, (6) I X, Y | Z = 1 2 log C X, Z · C Y, Z C Z · C X, Y, Z, where C is the covariance matrix of variable X, | C | is the determinant of matrix C, and n is the number of variables in C. A high MI value indicates that there is a close relationship between the variables, while a low MI value implies variable independence.
The implied instrumental variables estimates suggest a ten-percentage-point decrease in health insurance coverage increases WC bills by 15.3percentt.
