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Due to the availability of many different models, the selection of a suitable model for a specific application is very difficult.
This paper presents, after a review of the available resuspension models, the selection of a specific resuspension model and the efforts made for its validation against different experimental tests.
where z represents the sensing noise, Ψ is the inverse DFT matrix, v is the sparse vector of Fourier coefficients, and R is a K×N matrix with K corresponding to the number of useful packets collected during T which models the selection of correct packets.
Unlike the two-step Heckman correction that models the selection equation using probit regression, obtains the inverse mills ratio (IMR) for each case, and includes the IMR in an OLS model, the Heckman probit correction in GSEM uses latent variables and probit regression only (StataCorp, 2013).
For all three GLMM models, the selection process was as follows.
Since the mechanisms of glaucoma differ among animal models, the selection of an animal model should be based on experimental needs and the hypothesis being tested.
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Several authors have attempted to model the selection patterns of international migration.
Modeling the selection process over generations may explain the polymorphism.
We tested this hypothesis by modeling the selection process from birth to mature performance.
In the Copas selection model, the selection probability depends on both the estimates of the treatment effects and their standard errors.
The mutation model and the selection model are not mutually exclusive.
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