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measuring variables like skills, industry knowledge, and employment background.
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measure variables like aptitude and compatibility in order to provide you with a selection of pre-screened executive candidates tailored to your exact specifications.
Not exact matches
In addition, Air Canada has an Altman Z - Score, a common
measure of a company's financial health, that assess
variables like working capital, sales and earnings as a proportion of total assets, of 0.62, which suggests the possibility of bankruptcy.
(Peter Surda): you can not design a synthetic commodity whose supply mirrors macroeconomic aggregates, because these aggregate
variables are exogenous to the network (whereas the hashing parameter of networks
like Bitcoin only depends on time and the number of blocks in the blockchain, which from a perspective of the network are endogenous), so they can not be unambigiously
measured.
Cluster membership was then related to harm
measures, such as alcohol dependence and self - rated health, and three policy - relevant
variables: a
liking for alcohol advertisements, price paid for alcohol, and time of its purchase.
Then the researchers
measured the aerodynamic response of the creatures» wings, taking into account
variables like flight speed, attack angle, and bone structure.
Longer growing seasons, less irrigation water, earlier grain harvests, lilacs in the farmyard blooming ahead of «normal,» and hayfields that «don't produce
like they used to,» are conveying a consistent long - term message, even when prices, net revenues, and other
measures of the farm economy are
variable.
These algorithms use indirect respirometry data as their standard.15 This means that researchers
measure a bunch of people's energy needs by analyzing the combination of gases expired in their breath, and then make formulas that account for different
variables like gender, body mass, and body composition to help you estimate your calorie needs.
For instance, in EEOS, school quality is
measured by
variables like teachers» years of experience that are much coarser (and different) than what a parent observes when she interacts with her child's teacher, principal, and school.
Though practices
like incorporating student achievement
measures into the teacher evaluation process are becoming widespread, the application of that information to personnel policies remains highly
variable across the country.
If you do the forcing versus temperature correlation (as Bill Illis, others, and I have all done), including the AMO as an independent
variable, it looks
like the cycles you have so admirably described account for perhaps 0.2 to 0.3 C. of the
measured variation.
It is not so much the use / selection of priors in a Bayes formula that will lead to bad results, but rather things
like: - not inducing precisely the probability
measures from measurements towards final result
variables (eg over a calibration curve).
It appears to be an advantage to
measure motivational
variables (
like not just right experiences) separately with specific
measures (e.g. Summerfeldt, Kloosterman, Parker, Antony, & Swinson, 2001) instead of including them in symptom
measures assessing the content of obsessions and compulsions.
He tracked how the
measures synchronized with other
variables,
like words, facial expressions, and voice tones.
I am an «eye - baller» so I don't
like to get out a
measuring tape and feel
like there are too many
variables in a room and even the type of art (is it bold or does it have fine details?)