Sentence examples for algorithm for estimation from inspiring English sources

The phrase "algorithm for estimation" is correct and usable in written English.
It can be used in contexts related to data analysis, statistics, or computational methods where an algorithm is designed to estimate values or outcomes.
Example: "The researchers developed an algorithm for estimation to predict the future sales based on historical data."
Alternatives: "estimation algorithm" or "estimating algorithm".

Exact(20)

We develop an expectation-maximization (EM) algorithm for estimation of the proposed Bayesian hierarchical model.

H. Gorgun, M. Arcak, and F. Barbir, "An algorithm for estimation of membrane water content in PEM fuel cells," in Proc.

In this paper, an algorithm for estimation of noise model parameters from a single image is designed.

An algorithm for estimation of the cumulative probability distribution of cycles for crack formation and growth from notches in HCF and VHCF is also described.

The practical value of proposed robust algorithm for estimation of OE model parameters with constrained output variance is further increased by using an optimal input design.

In this paper an adaptive algorithm for estimation of physical parameters of cables in viscous environment on the basis of on-board instrumentation data is presented.

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Similar(40)

Power was also estimated for each scenario using the algorithms for estimation of power for multivariate Poisson generalized linear models in G*Power [ 1, 9] and PASS [ 10, 11] software.

Alternative Algorithms for Estimation of Dynamic MIMIC, Factor, and Time Varying Coefficient Regression Models (with R.F. Engle), Journal of Econometrics, Vol. 23, pp. 385-400.

It turns out that despite the fact the efficient algorithms for estimation of one-sided models exist, the analogous two-sided problem is substantially more difficult.

Furthermore, the development of new algorithms for estimation of gene expression from RNA-seq data is necessary to minimize length bias.

More complex data analysis algorithms for estimation, prediction, and simulation have been proposed (Openshaw 1998) and are increasingly being implemented, often as additional tools developed for use within proprietary GIS software.

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