Sentence examples for assumption is important from inspiring English sources

This assumption is important to maintain a TCP-friendly flow and congestion control over all the available paths.

Testing the assumption is important, because inaccurate estimates may lead to ergonomically ineffective (re design of hand tools and a waste of company resources.

This assumption is important for modeling real life problems such as the models for the supply chain of items to researchers at poles or space.

As usual, in our case this assumption is important to infer for a population because socio-economic status of African population and the variables that determine these characteristics are expected to be normally distributed.

Moreover, we also have P ( | M n | a + b 〈 M 〉 n ≥ x, [ M ] n ≤ y 〈 M 〉 n ) ≤ 2 inf p > 1 ( E [ exp ( − ( p − 1 ) x 2 ( 1 + y ) ( a b + b 2 2 〈 M 〉 n ) ) ] ) 1 p. It is necessary to point out that, to calculate the above exponential bounds, the following canonical assumption is important.

However, the equivalence assumption is important in the literature on asymmetric information (e.g. Amendinger et al. (1998,2003); Grorud and Pontier (1998)) since it ensures the existence of the decoupling measure (see Proposition 2.4) under which the information variable and the reference filtration are independent.

The instruments built into them to record movements under load, strains (or deformations) that occur within various parts of the dam under reservoir loadings, temperature and pressure changes, and other factors are installed primarily to study the performance of the structure and to warn of possible emergencies, but their value in confirming design assumptions is important.

Transparency about assumptions is important to ensure model credibility.

Unearthing these assumptions is important because they help explain why actors make particular choices.

Testing the stability of the model output against variation in these assumptions is important to identify which have the greatest influence.

The consistency of the conclusions under multiple assumptions is important since standard significance tests are not applicable, due to the complexities of sampling error in the original surveys compounded with survey errors in the access information for the 6 methods.