Sentence examples for estimated expectation from inspiring English sources

The estimated expectation values were 1.1 and 6.5 monolayers at arsenic fluxes of 7.0 × 10−6 and 1.9 × 10−5 Torr, respectively.

Day has estimated expectation values and standard deviations for various distance measures (including SJA) for comparison of random trees [ 12].

Propagate these points through the model Estimated expectation and variance covariance of the transformed variable based on the sigma-points are given by the linearly weighted sums (16) (17) with weights and Select sigma-points in the original domain according to where is the ith column of the square root of the variance covariance matrix.

Propagate these points through the model Estimated expectation and variance covariance of the transformed variable based on the sigma-points are given by the linearly weighted sums (16) (17) with weights and According to Julier et al. (2000), the errors of the expectation estimate is of fourth and higher order, whereas the variance covariance estimates have an error of fourth and higher order.

The proposed scheduling scheme is enhanced with self-organized HMMs, supporting the network with an estimated expectation of the clients' intentions, since the system's environment characteristics alter dynamically and the base station (server side) has no a priori knowledge of such changes.

Finally, its effect followed from the estimated expectation and variance of the dummy coefficient.

Predicting crosses, i.e., estimating expectation and variance of the performance of a population derived from a cross of two parental genotypes, is an application of GWP in which plant breeders have high expectations, but no reports of successful implementations have been published.

Indeed, the following is true for any two distributions π and q: (9) If we have a set of samples y1, y2, …, y m following the distribution q, then the unbiased estimation for 1, according to equation (9), is (10) (note that we sample from distribution q and would like to estimate expectation of function π/ q).

A Markov Chain Monte Carlo (MCMC) sampler is used to estimate expectations with respect to the posterior distribution, p λ,u,v|x).

Compared to the standard MC that requires a significantly large number of high-fidelity model executions to achieve a prescribed accuracy in estimating expectations, the MLMC can substantially reduce computational costs using multifidelity approximations.

Then the SVM forecast result is corrected using the estimated error expectation.