Sentence examples for mixing distribution from inspiring English sources

This mixture has an arbitrary mixing distribution defined by the environmental parameter distributions and the routing distribution.

In this paper we show how the mixing distribution can be allowed to change with time reflecting changing exposures.

Both methods feature a fixed mixing distribution between the ensemble components, which simplifies the inference, though it does not completely trivialise it.

Models of this form are called mixed logit, because the choice probability L i is a mixture of logit with f as the mixing distribution.

An appropriate choice of a mixing distribution allows its parameter to vary and acts as a means of "loosening" the structure of the initial model, thus offering more realistic interpretations of the mechanisms that generated the data.

The derivation of the negative binomial distribution, as a mixture of the Poisson distribution with a gamma distribution as the mixing distribution, originally obtained by Greenwood and Yule ([1920]) constitutes a typical example.

A study of in-cylinder fuel air mixing distributions in a firing gasoline-direct-injection engine is reported using planar laser-induced fluorescence (PLIF) imaging.

[25] The primary outcome was the 18-item risk score, which had a "semi-continuous" or "mixed" distribution ranging from 0 to 9. [26] [28] Men who had not engaged in any sexual activity in the past 6 months had scores of 0, but men who were sexually active in the 6 months prior to the interview had scores ranging from >0 9.

The design functions are fluid mixing (dispersion), distribution of extra feed points, distribution of heat transfer area and coolant temperature, catalyst dilution distribution and more.

Methodologies that have been applied to address repeated observations include mixed logit models (e.g., [19, 23]), random effect models (e.g., [14, 29]), multinomial probit (e.g., [13, 18]), normal mixing distributions (e.g., [6]), generalized estimating equations (e.g., [5, 15]), and mixed linear models (e.g., [25]).

We shall consider both Poisson and negative-binomial mixing distributions.