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An exponential semivariogram model with only one pair of drift coefficients is used as the most appropriate fitted theoretical model.
Based on the most appropriate fitted models, direct heritability (h2) estimates ranged from 0.14 (BW1) to 0.64 (MEW).
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Then, the most appropriate fit type was investigated.
The principle of parsimony is used to select the most appropriate fit.
Review of the factor structures suggested the most appropriate fit was four and five factors.
Both linear and quadratic trends were examined and goodness-of-fit tests of the deviance between linear and quadratic models were used to assess most appropriate fit.
There is uncertainty in the literature to assist health researchers in determining the most appropriate fit statistic to select for developing or modifying questionnaires.
Next, we identified the most appropriate fit function, or curve, for both the observed N positive and the observed N negative distributions from the US data set.
There has been and there continues to be a considerable debate around the issue of which is the most appropriate fit statistic to use, what range of fit statistics to be employed when evaluating fit, and how fit statistics should be interpreted [ 15, 16].
Factorial validity for the MASQ has been established with a 3-factor solution consistently found to be the most appropriate fit, albeit in community rather than clinical samples with high proportions of people affected by depression and anxiety [ 8, 16, 28].
The gamma distribution was most appropriate to fit the rainfall data (McKee et al. 1993).
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CEO of Professional Science Editing for Scientists @ prosciediting.com