Sentence examples for required for estimation from inspiring English sources

The number of particles required for estimation is case dependent.

These active ingredients degraded and may alter their biological activities, therefore extensive study is required for estimation of their stability-indicating properties.

From results of Figs. 10 and 11, the time required for estimation will be decreased, when the order of the polynomial function is decreased.

In this study, we reviewed and combined the most recent equations required for estimation of evaporative losses based on the revised Craig Gordon model.

The unified Perc CHWP methodology improves measurement of water transmission in absorption field investigations by providing: physically based PT values required by many design specifications and regulatory codes; Kfs values required for estimation of long-term water acceptance rates; and functionally linked PT Kfs data pairs that are accurate and based on rigorous borehole infiltration theory.

The advantages of the use of monkeys over rodents are the following: (1) their CNS developmental changes are similar to those in humans; (2) oseltamivir is converted to Ro 64-8082 by hepatic CES in monkeys as in humans, whereas serum CES activity is high in rodents [[3]]; and (3) monkeys are capable of undergoing serial blood samplings required for estimation of BBB permeability.

But the skills required for carbon estimation are more complex, including biomass estimation, using allometric equations, root biomass estimation, measuring trees of all diameters, destructive sampling, and so on.

However, this implies that the model then includes a large number of parameters and consequently a large number of required observations per individual is required for its estimation.

In this context, this study addresses two important questions for the clinical translation of techniques that enable the estimation of passive stiffness and active tension parameters: are pressure measurements required for parameter estimation?

Previous studies have provided estimates of the minimum number of sequences required for reasonable estimation of k-mer probabilities (Fairbrother et al., 2002).

In this situation, causal methods such as the g-formula, g-estimation of structural nested models, or dynamic marginal structural models are required for unbiased estimation.