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I extend their model framework by allowing the measure of LOC to depend on a set of observable determining variables.
Fukuhara and Kamata (2011) detected DIF under the bifactor model framework by including a covariate (i.e., the grouping variable) instead of a DIF parameter.
We incorporate the exposure history in the model framework by applying a threshold value to the global marine benthic δ18O record and include the threshold value as a free model parameter, hereby taking into account global changes in climate.
The repeatability (model 2a) can be estimated in a mixed model framework by fitting the individual identity as a random effect; R = VR/ VP where VR is the repeatability variance.
Schürle proposed an alternate approach to incorporating conditional dependence in the traditional F-S model framework by working directly with the joint distribution of the observed agreement pattern given the true match status.
We checked the robustness of our results to slight changes in model framework by reanalyzing the data using the Clade model D (CmD) framework [ 20]; like CmC, CmD assumes three site classes with the final class modeling divergent selection among clades but, unlike CmC, no constraints are placed on the ω estimates for any of the site classes.
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Thus, this paper develops a systematic modeling framework by harmonizing these approaches and combining the individual advantages of each approach to produce integrated synergy effects.
The high-pressure homogenizer emulsification modelling framework by Håkansson et al. (2009a, Chemical Engineering Science 64, 2915 2925; 2009b. Food Hydrocolloids 23, 1177 1183), is further developed in this study.
We developed an integrated modeling framework by considering both climatic and anthropogenic factors to investigate spatio-temporal variability of blue and green water availability and to quantify the water security in a river basin.
The present study extends the existing activity, modal share, energy intensity, fuel/carbon intensity (ASIF) modeling framework by disaggregating travel activity into key structural components and city-specific factors for 288 prefectural level cities in China.
In this framework, approximating the model by a linear model (and the posterior distribution by a normal distribution) leads to the well-known A-optimal [ 30, 31] or D-optimal [ 32- 36] experimental designs, which optimize a property of the Fisher information matrix (FIM) at the maximum likelihood estimator.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com