Sentence examples for model model for from inspiring English sources

Figure 10 shows the total energy consumption per bit of uncoded NC-MFSK and uncoded differential MPSK schemes for different constellation sizes for on-body NLOS channel model model for a desired BER of 10−4.

In the previous section, we have described a basic model model for the production of proteins, in the framework of the mass action law.

Kaplan et al combined a systematic literature review with opinions of stakeholders to develop a conceptual model, Model for Understanding Success in Quality (MUSIQ), of contextual factors affecting the success of a QI project.

In the base model (Model 1) for each exposure, we adjusted for child sex and age in months at assessment.

Linear trend change model model { for (i in 1 RL c ){ xc[i] ∼ dpois(lambda2[i]) lambda1[i]=lambda0+beta × (i-change) × step i-change) lambda2[i]=max(lambda1[i],0.000001) } tau=1/(6 × step i-change) Rlambda2[i]=max lambda1[i] tau) change ∼ dunif(1,RL) }   3.

Multiple change model model { for (i in 1 RL c ){ xc[i] ∼ dpois(lambda2[i]) lambda1[i]=lambda0+delta1 × step i-change1) × step i-change1)+delta2 × step change2-i +delta22[i]=max(lambda1[i],0.000001) } tau=1/(6 × step change2-i +delta2 −1 delta1 ∼ dnorm(0, tau) delta2 ∼ dnorm(0, tau) change1 ∼ dunif(1,change2) change2 ∼ dunif(change1,RL) }  .

The following are the different change model codes: 1. Step change model model { for (i in 1 RL c ){ xc[i] ∼ dpois(lambda2[i]) lambda1[i]=lambda0+delta × step i-change) lambda2[i]=max(lambda1[i],0.000001) } tau=1/(6 × step i-change) Rlambda2[i]=max lambda1[i], tau) change ∼ dunif(1,RL) }   2.

Sensitivity analysis involved fitting the fully adjusted model (model 3) for different neighbourhood definitions.

Results of the ANOVA model (Model I) for metabolic variance in the experiment are shown by metabolite.

Unlike fashion modeling, modeling for artists can be a lifelong career.

Besides the phoneme models, models for laughter and noise were included.