Sentence examples for estimates for constructing from inspiring English sources

Exact(2)

Initial estimates for constructing a new building were projected to be between £10m and £40m in 1997.

We obtained a vector of estimated variances from the resulting matrix, from which we calculated valid standard error estimates for constructing confidence intervals and conducting statistical tests.

Similar(58)

Hence, we can use this distribution to estimate the bias and variance of our estimate, and consequently for constructing confidence intervals.

Nei's genetic distance was estimated and used for constructing an unrooted neighbour-joining tree by the PowerMarker software, and the tree was visualized using FigTree (http://tree.bio.ed.ac.uk/software/figtree/).ac.uk/software/figtree/

For both study areas, model-based inference was used to estimate the components necessary for constructing confidence intervals for population means for non-sampled areas.

We developed a geostatistical interpolation method to estimate chronic exposure to PM2.5 over the United States, and compared these monitor-based estimates with monitor-free RS for constructing an improved assessment of long-term PM2.5 exposure.

Existing techniques for constructing uncertainty estimates in such situations have not been implemented widely, due in part to the need to set adjustable parameters or because of limited or difficult applicability to constrained or nonlinear problems.

We constructed a uniform probability distribution around the mean CFR for under-five malaria cases used by WHO for constructing mortality estimates for low-transmission countries in Africa (min CFR of 0.2% and max CFR of 0.6%).

Because of this, and because of its convenience for constructing and estimating hybrid models, we focus on Bayesian estimation for the remainder of the paper.

The paper introduces a new recursive algorithm for constructing phase state estimates for systems with additive and parametric disturbances.

Extensive numerical investigation demonstrates the ability of this regression-based approach to efficiently construct a very sparse kernel density estimate with excellent test accuracy, and our results show that the proposed method compares favourably with other existing sparse methods, in terms of test accuracy, model sparsity and complexity, for constructing kernel density estimates.

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