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The results of VAR estimates and model diagnostic tests are shown in Table 8.
The results of VEC estimates and model diagnostic tests are shown in Table 9.
By applying the optimal model order, Table 6 presents the results of VAR estimates and model diagnostic tests.
Table 6 Results of VAR estimates and model diagnostic tests Parameter estimates for each equation of the model Test results for each equation of the model IC RD R 2 0.9399 0.9717 IC(−1) 1.2300 0.8433 Adj.
Table 13 Model diagnostic tests Diagnostic test Computed test statistic p-value Durbin – Watson 1.965 N/A Normality 5.42 0.667 Breusch-Godfrey LM test for autocorrelation 0.006 0.940 ARCH LM test 0.015 0.902 Ramsey RESET test 2.64 0.548 Breusch-Pagan / Cook-Weisberg test for heteroskedasticity 0.99 0.9997.
We performed model diagnostic tests, including Hosmer-Lemeshow goodness of fit.
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In this model, diagnostic testing is often employed for selecting appropriate and optimal therapies based on the context of a patient's genetic content.
Logistic and linear regression models, diagnostic testing, and sensitivity analyses were also employed as appropriate.
Unfortunately, Welsh et al. (2008) did not provide the details (model diagnostic statistics, tests of assumptions) needed to assess whether or not their analyses of body condition may be accurate.
Structural analysis is a standard tool to identify submodels that can be used to design model based diagnostic tests.
Any violation of assumption was observed by examining the interaction between explanatory variables and outliers in both models, and diagnostic tests in the linear regression model.
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