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In section 6.4, a model of preference change is discussed that models the necessary consistency adjustments which follow a preference formation.
In this paper, a model of preference elicitation from customers is proposed to bridge the gap between low-level features and high-level concepts.
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Furthermore, we find that a model of asymmetric preference of both Z and M females for Z males provides the best fit to the data (Table 1).
Hansson (1995) suggests the differentiation of valuational change into preference formation and preference change, and constructs a formalised model of preference change proper.
A model of changes in preferences can be obtained by replacing the standard AGM language by sentences of the form p ≥ q (" p is at least as good as q") and their truth-functional combinations.
We used a model of nucleosome sequence preferences we described previously [1] to compare intrinsic (i.e. DNA-encoded) occupancy with experimentally determined nucleosome occupancy in CD4+ T-cells [8].
This stands in contrast to previous studies which either start with a given list of types or a specific model of preferences.
The survey was grounded on a theoretical model of preferences for place of death which describes preferences as a result of three factors: facilitating circumstances (such as general health, education and income), prior experiences (e.g. experiencing personal illness or caring for someone who is dying) and personal values (such as the importance attributed to dying in the preferred place).
18 Coefficients will be adjusted for scale using the Swait and Louviere 19 approach allowing for scale adjusted comparison and the preference data from the subgroups will be tested to determine whether it can be pooled to estimate a joint model of preferences.
However, in contrast to the HMRs within CGIs, the nucleosomes at the boundary of non-CGI HMRs are predictable by a model of intrinsic nucleosome sequence preference (intrinsic nucleosome occupancy scores (INOS)) [ 33] suggesting that the localization of nucleosomes at these boundaries might be driven by DNA sequence.
Consistent with the landscape model of preference, this study argues that consumers prefer online settings that are high in sense-making and exploration potential as they make consumers feel good and increase their confidence level.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com