Sentence examples for model n is from inspiring English sources

For the Free Space model, (N) is 2, and for the Shadowing model, (N) ranges from 1.5 to 6.

In the model, N is determined by the number of parking spaces in the certain zone and the accuracy of solution.

In the model N is the set of all nodes and ( N_{0} = Nbackslash left{ 1 right} )c is the set of all customers.

where k is the number of parameters in the model, N is the number of recording rate observations in the time series and lnL is the maximized value of the logarithmic likelihood function (equations 5 and 12).

First, in saying that our new model, N, is a submodel of our original model, M, we mean the domain of N is a subset of the domain of M and that the two models agree on the interpretation of the constants, predicates, relations and functions in our language e.g., for any n1, …, nm in the domain of N and any R in our language, N ⊨ R[n1, …, nm ] ⇔ M ⊨ R[n1, …, nm ].

The common method Akaike Information Criterion AICC) for judging the order of time series models is given by mathrm{AIC}left( p, qright)=mathrm{nln}{sigma}_a^2+2left( p+ qright) (11 where p and q are orders of ARMA model, n is the number of data in the sequence, ( {sigma}_a^2 ) is the Variance of noise a(t).

The Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) were used to compare the goodness of fit of the MC and UPM models: (2) (3) where and E_{{\rm UPM}}^2 are the deviation norms for the MC and UPM models, n is the total number of edges in GTs, and Δ d is the number of constraints in the MC model (five and eight for Drosophila and Saccharomycetales, respectively).

For example, the load condition that resulted in a total reaction force of 100 N in model-N was defined as Load100N.

When the similarities of the distribution of the reaction force on the superstructures to that on the natural teeth in model-N were confirmed, the occlusal adjustment was completed.

For N-classification, all models (model-Na, model-Nb, model-Nc and model-Nd) had a poorer prognostic value than TNMc2008, and model-Nd was inferior to both model-Nb and model-Nc.

On the other hand, the RE model is more efficient than the FE model when N is large, T is small and its assumptions are not violated.