Sentence examples for estimation of data from inspiring English sources

Output: Estimation of data flow rate.

We consider nonparametric complex spectral estimation of data sequences with missing samples occurring in arbitrary patterns.

Kernel density estimation is a popular non-parametric method which can be applied for the estimation of data in many diverse applications.

In particular, among the advanced techniques available for online estimation of data, we choose to work with sequential Monte Carlo (SMC) or particle filtering (PF) methods [20 22].

The aim of this work is to describe typical values appearing in datasets and to enhance knowledge about typical distributions of dataset's parameters which could be used for estimation of data quality.

The reason is LTE-LBPS-Merge determines the sleep cycle length based on the estimation of data accumulation instead of passively getting back to the active mode for each packet arrival as the contrast schemes do.

When considering group data using SDT, individual subject variability can be modelled using hierarchical Bayesian techniques [ 15], allowing estimation of data-driven posteriors of mean bias and discriminability as well as their variance or precision (the inverse of variance) [ 11, 12].

In addition to the over/or under-estimation of data symbol duration, the backscatter waveform may deteriorate further when passing through a multipath wireless fading channel.

Right: Probabilistic estimation of output data from given input data with GMR.

After estimation of missing data, the full HRQoL data of 543 (49%) parents was available for analysis.

In all models, individuals with partially missing item level data were included, since estimation of missing data patterns is possible under both estimators (traditional ML and WLSMV).