Sentence examples for in which dependence from inspiring English sources

Exact(9)

They both come from broken families, in which dependence on benefits was par for the course.

Our procedure considers both conditionally independent tests and tests in which dependence exists between classifiers.

The TNT membranes are synthesized by a two-step anodic procedure, in which dependence of the TNT morphology and detachment on the applied voltage is experimentally present.

Based on the experimental results, an extension of the Diemer and Olson model is proposed, in which dependence on the Weber number as well as on the mother drop diameter can be inserted.

The conclusion presents that the cost of a hybrid energy storage system is greatly affected by ramp-rate and dependence between the power of wind farms and photovoltaic stations, in which dependence can easily be determined by Copulas.

The paper concluded that the cost of a hybrid energy storage system is greatly affected by ramp-rate and dependence between the power of wind farms and photovoltaic stations, in which dependence can easily be determined by Copulas.

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Similar(51)

This two-step decision is considered to be an ordered probit model (in which cigarette dependence is classified into three groups depending on FTCD scores) with a binomial probit model (in which smoking is denoted by 1 and non-smoking by 0).

For example, one strategy may be more effective than the others in a population in which density dependence is weak while another may be better suited for a population regulated by strong density dependence (e.g., compare Fig. 3, β < 2 to β > 2).

A mixed effects model was used in which the dependence among observations from the same subject was taken into account.

And he argues that in this experiment, relativistic parameter-dependent theories (deterministic or indeterministic) would give rise to closed causal loops in which parameter dependence would be impossible.

The joint CDF lends itself to problems that are easily described in terms of inequality events in which statistical dependence relationships also exist among events.

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