Sentence examples for observed attributes of from inspiring English sources

The systematic component is a function of observed attributes of the good or service and observed characteristics of individuals who make choices, which can be modeled as followed: (2) P (Y 1 = 1 ) = P (U i 1 > U ij ) (3) = P (V i 1 + ϵ i 1 > V ij + ϵ ij ) (4) = P (V i 1 − V ij > ϵ ij − ε i1 ) ∀ j ≠ 1 where Y i is a random variable denoting the choice outcome.

We propose an algorithm that exploits these insights to cluster the observed attributes of hundreds of millions of Twitter users.

This component measures the portion of the wage gap due to differences between the observed attributes of immigrants and those of Canadian born workers, evaluated with the coefficients of the latter.

Thus, the utility that individual n receives from the j th alternative (U nj ) can be expressed as U nj  = θ′Z j  + ε nj, where Z j is a vector of observed attributes of the j th alternative, θ is a vector of unobserved parameters to be estimated, and ε nj is an error term.

The observed attributes of the EDCs (i.e., delayed appearance of a highly refractile population of small cells following fibroblast outgrowth, and partial activation of a cardiomyogenic program) were consistent with other studies describing cardiomyogeic stem cells from explanted heart tissue[1] [3].

The empirical model to be estimated is specified as:, where U itj is the utility individual i derives from choosing alternative j in choice scenario t, x itj is a vector of observed attributes of alternative j, βi is a vector of individual specific coefficients reflecting the desirability of the attributes and ɛ itj is a random error term.

The results indicate that once the network is trained, it can be used to assess student's metacognitive awareness and use of reading strategies with the help of observed attributes.

First, the number of cells per landform class, associated with a set of observed attributes discretized into classes (e.g. slope class), is retrieved from the training image and stored in a frequency tree, which is a hierarchical database.

Hidden properties of social media users, such as their ethnicity, gender, and location, are often reflected in their observed attributes, such as their first and last names.

The relationship of the utility function and the observed k attributes of the alternatives can be assumed under a linear-in-parameter function.

In the analysis of Table 2, it is worth noting that over-expression is not necessarily indicating a large frequency of the observed attribute in the filtered network.