Sentence examples for sequential estimates from inspiring English sources

Sequential estimates of Pf prevalence in new malaria program areas perforce relied on screening different villages in each term, which likely resulted in substantial bias by area and other unmeasured factors.

To illustrate the operation of the sequential estimation algorithm its MMSE estimates of the LOS and multipath delays are depicted in Figures 6 and 7, which correspond to two typical scenarios a navigation receiver has to cope with in urban environments.

Second, when estimating the second threshold we adopt a sequential estimation procedure following Bai (1999).

In addition, although target tracking per se is not considered in this paper, performance is evaluated both under the assumption that sequential location estimates are not aggregated as well as under the assumption that some sort of tracker is available to aggregate a sequence of estimates.

CHERG has undertaken comprehensive disease burden modeling of causes of death in children U5 and has provided sequential annual estimates from 2001 through 2011.

Stopping guidelines for efficacy were agreed upon by the DSMB members and the investigating team prior to the trial, using Lan-DeMets boundaries and nominal p-values for group sequential analyses estimated using O'Brien/Fleming spending function[ 17, 18].

In order to reduce the computational load associated with the motion parameter estimation of multiple closely located targets, we also propose a sequential process which estimates target acceleration and velocity vectors in tandem.

Sequential integration of estimates was achieved using a particle filtering framework.

Similar arguments apply for inferring infectivity estimates: sequential records of the binary disease phenotype provide richer information about the true infection times and thus about potential transmission routes.

Since this design allocates subjects sequentially, it is natural to apply a sequential method for estimating the treatment effect in order to make the data analysis more efficient.

It is based on tracking feature points in sequential images and estimating depth information from 3D reconstructed images.