Sentence examples for probability to accommodate from inspiring English sources

Exact(1)

One can easily modify the definition of a transition probability to accommodate various needs (e.g., using Reg i j ∗ and Dis i j ∗ for analysis).

Similar(59)

J. Cho and A.N. Kleit developed a probability model to accommodate the PBR mechanism and calculated the net present value of many years' income based on the discount rate [18].

Indeed, first, Φ F is reconstructed by p RB thinning, where each point of Φ F is retained with probability p RB (to accommodate the condition (a)), and then it is thinned again by applying the other independent thinning (to accommodate the condition (b)).

First, Φ F is reconstructed by p RB -thinning, where each point of Φ F is retained with probability p RB (to accommodate condition (a)), and then it is thinned again by applying the second independent thinning (to accommodate condition (b)).

The Nelson Olsen covariance estimator of the simultaneous least squares-probit model is adjusted to accommodate probability based stratified surveys.

The aim of the proposed technique is to increase SNR of NOMA users and, at a system with an upper bound on error probability, let the system to accommodate more users.

In this paper, we define the voice and data coverage probabilities, both for the UL and the DL, as the probability of having enough power to accommodate a new incoming voice or data connection request, respectively, given that n voice and m data users are being served simultaneously.

The problem setup is that of a robust H∞ performance analysis/state-feedback synthesis of an affinely parameter-dependent linear system, except that the parameter hyper-rectangle (box) is allowed to shrink representing a probability less than one in order to accommodate a polytopic performance goal that is better than the one attainable for the original parameter box.

Probabilities were adjusted, as noted, to accommodate multiple comparisons.

For ordinal outcomes, generalized linear mixed models will be used to accommodate the different probability distributions of the data, as compared to continuous outcomes.

This was because including interactions increases the variance of the liability score and, therefore, changes in threshold values are needed to accommodate the observed probabilities of each of the categories.

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