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Summary statistics derived from the likelihood ratio test can be used to check model adequacy in cross-sectional data analyses [ 1, 4, 5].
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The reasons of the decrease in IUTL model adequacy can, in first approximation, be evaluated through solving of ITE in terms of three-parametric single-layer models.
Quantitative assessments of model adequacy are displayed in Table 9.
The model adequacy was experimentally validated in triplicate at optimized levels of factors (Bagewadi et al. 2016a).
Association between smoking reduction and mental health in the propensity score-matched sample details of the variables entered into propensity scores and for model adequacy checks are shown in the online supplementary material.
Examination of residuals assists in checking model adequacy [28].
Statistical optimization by PBD and CCD-RS Mrevealed high model adequacy with 8.09-fold increase in laccase production.
The residuals from the least squares fit played an important role in judging model adequacy (Myers and Montgomery 2002).
In this case, responses can be predicted with model m at ξ⁎, parameters of the remaining models can be re-estimated and model adequacy tests can be performed in order to compute the number of discriminated models.
18 These were used to visually assess model adequacy and detect notable misspecifications in the structural, statistical, and covariate model.
As discussed in the model adequacy section, the use of the logarithms of the rates yielded a model that fulfilled the assumptions of linear regression, once an outlier was removed; the residuals of that model did not prove to lack a normal distribution, did not have a mean that proved to differ from zero, and did not prove to lack homogeneity of variance.
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