"imposed on data" is a correct and usable phrase in written English.
It can be used when referring to a restriction or condition that has been placed upon a certain set of data. For example, "The organization placed certain regulations imposed on data collection."
Two random terms were included in the model in order to account for the covariance structure imposed on data by the inclusion of both legs in all children, one for correlation between data from the same individual and one for correlation between data for the same leg.
This is not true of arbitrary non-stationary random processes but it can be imposed on data acquisition as done in this work.
In [14], the dynamic power and rate control problems for multiple cognitive radio links that operate over multiple channels (frequency bands) with a delay constraint imposed on data transmission is considered.
Figure 1 shows results when an error correction is erroneously imposed on data generated without error.
(1) Here, indicates the length of the tree estimated from data set Y, imposed on data set X.
This may be, in part, due to the limitations imposed on data collection, which are inherent to retrospective studies.
However, there are data handling measures imposed on the data that were more important in the brain data set than in the blood data set, likely reflecting the fact that the brain data was plagued by a smaller sample size and that the sequencing data was generally of overall lower quality due to degradation of the starting material.
This approach means that themes that are identified need to be grounded or rooted based on examination of the data and not initially imposed on the data.
Themes and patterns are identified from the data, rather than being imposed on the data and are presented in a clear manner that allows flexibility to aid the creative generation of theory.
The team agreed that for the purposes of meta-ethnography another important facet of interpretive rigour is whether or not we feel that the interpretation is grounded in the data (inductive), or is imposed on the data (deductive).
In addition, we used Generalized Estimating Equations (GEE) [47], which is less sensitive to the distribution imposed on the data [48], and recommended when analyzing data collected in clusters where observations within a cluster may be correlated [49].
