Sentence examples for data estimation of the from inspiring English sources

As such, the developed procedure may be well suited for the data estimation of the complicated BSIM-model parameters in foundry fabrications.

When paired age length samples are collected from fishery data, estimation of the growth function parameters has typically assumed that each length observation is a random sample of fish for a given age (traditional method).

Study demonstrated that Taguchi Method and GONNS complement each other for creation of a robust procedure for determination of the test conditions, analysis of the quality of the collected data, estimation of the influence of each parameter on the output(s) and estimation of optimal conditions with complex optimization objective functions.

For PM data, estimation of the non-primary component reduces the problem of contamination, and this should be used whenever concurrent PM10, PM2.5 and NO X  data are available.

Using pooled data, estimation of the assortative mating index (I) and mating propensity followed Bailey et al [20], but with AIC used to choose between models.

Using plausible model input data, estimation of the effective reproductive number for the Victorian epidemic required us to invoke an earlier date for commencement of transmission to explain the observed data.

For the latter the WIOD socioeconomic statistics5 were used and also, from these data, estimations of the distribution of value added between compensations to capital, labor and labor by skill levels, were performed.

Because of the unbalanced nature of the data, estimation of variance parameters is by residual maximum likelihood (REML).

However, combining expert opinion with trial data and managed care resource utilization data allows estimation of the cost savings and cost-effectiveness of the considered antibiotics.

The impact of missing data on estimation of the treatment effect and its confidence interval depends on the mechanism which caused the data to be missing, the strategy used to handle missing data, and the model used for statistical analysis.

Study data enabled estimation of the latter only with strong assumptions of no unmeasured confounding.