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The environmental data sets consisted of topographic/landscape attributes (assumed to have remained constant) and high-resolution climatic simulations for the three climatic phases considered here.
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Using a sample of car non-commuters in Sydney we estimate a mixed logit model in which all attributes are assumed to be attended to, and models which assume that certain attribute(s) are not attended to, based on supplementary information provided by respondents.
Precisely-measured attributes are assumed to draw their values from the GoodRelations class gr: QuantitativeValue.
In naive Bayesian approach, the attributes are assumed to be conditionally independent.
This "binding problem" is computationally difficult because all attributes are assumed to be bound together to form a single object representation.
NB is the simplest form of the general Bayesian network in which all attributes are assumed to be independent.
Attributes are assumed to be numeric, with colors assigned using a heat map that ranges from blue (smallest value) through green to red (largest value).
The POSHA-E was designed to measure public attitudes toward stuttering within the context of eight other attributes, or "anchors," assumed to range from negative (e.g., "mental illness"), to neutral (e.g., "left handed"), to positive (e.g., "intelligent").
In GNB-pooled variance, the variance of attribute Xj is assumed to be the same for all classes.
Without loss of generality, the attribute order is assumed to be { X1,⋯, X4} by comparing mutual information.
As all coefficients of attribute levels are assumed to be normally distributed, the mixed logit estimates relating to the mean coefficient and s.d. for each attribute level were applied to calculate the distribution of preference heterogeneity.
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CEO of Professional Science Editing for Scientists @ prosciediting.com