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The cathode-ray oscillograph makes use of a sharply focused electron beam to display the relationship between variable quantities on a luminescent screen similar to that used in a television.
In this method, the key technologies are finding out the relationship between variable weather parameters and control signal at the maximum power point (MPP) and finding out a way to track the MPP quickly.
The relationship between variable selection and cross-validation was first independently tackled by Allen [1] and Stone [2].
Previous work in network analysis tended to use measures like conditional probability [27], transfer entropy [28], [29], or Pearson correlation [1] to denote the relationship between variable pairs.
Table 12 denotes the relationship between variable 1 and problem of lack of motivation to employees as represented in Table 11 and has been elaborated by running the variables through chi-square test of independence.
Further work is needed to better investigate the relationship between variable selection performance and the number of retained PLS components.
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Path analysis was used to study the relationship between variables.
Their research has enabled others to study the relationship between variables, like personal wealth and consumer spending, in ways not possible before.
Before modeling, wavelet coherence transformation (WCT) analysis was conducted to analyze the relationship between variables in the time-frequency domain.
Studying the relationship between variables was done using Spearman correlation.
Logistic regression was used to understand the relationship between variables.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com