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The model can be further combined to DCS graphics and field operated devices schematics to facilitate procedure testing.
The path and factor approaches differ noticeably in regard to procedure, testing, and indicators.
The models were constructed by a stepwise forward procedure, testing the significance of each variable and adding only the variable that resulted in a better fit to the model (Baos et al. 2006).
Because these variables are categorical, we used an ANOVA procedure, testing the null hypothesis that the means do not vary according to the levels of each explanatory variable for each sub-total.
The second procedure, testing, employed a permutation test to evaluate whether possible genes were false discoveries; these genes were excluded by the testing procedure.
Since unconditional tests are often inconclusive about these complementarities, we implement a new procedure testing pairwise relations conditional on the presence/absence of a third form.
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The new procedure tested by Gold, Elisseeff and colleagues added hydrogel to the microfracture technique.
The procedure, tested on 16 patients, involved growing millions of a patient's own skeletal muscle cells in test tubes and then reinjecting various amounts of them.
One-sample test procedure tests whether the mean of a single variable differs from a specified constant.
The procedure tests the model: "No QTL" versus "1 QTL in interaction with another known QTL".
The PROC logistic procedure tested two-way interactions between the different explanatory variables (risk factors).
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