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Both univariate and multivariate repeated measures data can be analyzed.
This data can be analyzed too, but only if you use Hewlett-Packard's cloud systems.
This data can be analyzed to make adjustments to the system operation for further improvements on its operation.
Or semi-private data can be analyzed at scale, particularly when reporting requirements combine with weak anonymization.
How data can be analyzed is very much a function of study design and conduct.
Such data can be analyzed to determine trends that guide business strategy, or sold to other businesses for a tidy profit.
It is also noted that even some non-stationary response data can be analyzed by the stationary method SOBI.
Every time the system logs a data point, it also logs the time and date so that the data can be analyzed in the future.
The same data can be analyzed to solve a related problem: determining the best times to release software patches.
The data can be analyzed for the return period of extreme events with focus on hazard zoning and design standards.
Yousef and coworkers have shown that these data can be analyzed using a method, called the capacitance model (CM), to determine interwell connectivity.
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CEO of Professional Science Editing for Scientists @ prosciediting.com