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However, the linearisation of kinetics and isotherm models from their non-linear forms may violate the normality assumptions of standard least squares, leading to error (Ho 2004; Ratkowsky 1990).
However, we tried to minimize the use of this type of information (e.g., the predictions of Model 1 do not depend on Axioms 2 and 3) and formulated the axioms such that they do not differ from the ideological assumptions of standard structural change, growth, and, in general, long-run dynamic models.
Take a closer look and you will see that many of the commentators warning about a new form of technological job displacement are either orthodox economists or those tacitly proceeding from the assumptions of standard economics that society can't improve on the verdicts of market forces.
These tests are comparable to the paired t-test, and are valid in cases that violate the assumptions of standard statistical tests [42].
This or other appropriate transformations of dependent variables are sometimes needed to render linear their relationships with factors, in order to fulfil one of the main assumptions of standard ANOVA (which assumes a linear regression).
Cost data are frequently skewed and this can cause a violation of the assumptions of standard significance tests.
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A second problematic assumption of standard economic models is that people are properly attentive to all relevant costs and benefits, even those that are uncertain, or that occur in the distant future.
This spatial dependency leads to the spatial autocorrelation problem, which violates an assumption of standard regression techniques that assume independence among observations.
Percentage body fat was estimated using the assumption of "standard" body type.
For all models, except those with interaction terms, the assumption of standard multiple linear regression is that effects are homogeneous across strata of other variables.
A GEE model was chosen since multiple weekly observations for the same patient would be expected to violate the independence assumption of standard logistical regression.
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CEO of Professional Science Editing for Scientists @ prosciediting.com