Sentence examples for stochastic variance from inspiring English sources

The influence of point mutations explains some of the problems with the last two examples, as does the fact that these genetic distances have large stochastic variance.

For construction simulations, the Beta distribution has been found to provide a good representation of the stochastic variance apparent in construction activities (AbouRizk et al. 1994).

Stochastic variance in the durations of repetitions of an activity were assumed to be Beta distributed, and the parameters for this family of distributions were kept within the ranges observed in the study by AbouRizk and Halpin (1990).

More specifically, the expected duration will be the same for all repetitions of an activity so that only stochastic variance and correlation may affect the actual duration of subsequent repetitions of an activity.

Nevertheless, the high noise level, instability of characteristics and extreme stochastic variance that characterize MEMS inertial sensors made it a challenge to use MEMS in autonomous mode for extended periods.

In particular, there is a need to determine the extent to which the Crew Idle Time and Missed Opportunities could be reduced if an accurate assessment of the level of correlation was available and used to determine the optimal plan - the question is not straightforward as the systems performance is subject to stochastic variance.

We proceed to apply our framework to develop and analyze KroMagnon: a novel, parallel, sparse stochastic variance-reduced gradient (SVRG) algorithm.

Non-Newtonian fluids are tackled by means of a stochastic, variance-reduced, kinetic modeling approach in which the polymer stress tensor is retrieved making use of Compactly-Supported Radial Basis Functions for randomly scattered data interpolation.

This phenomenon was likely caused by stochastic variances or processing related hybridization/labeling issues that introduced random intensity reductions in one or more probes within the enriched regions.

In stochastic environment, variance, semivariance and probability of a bad outcome are three popular definitions of risk for portfolio selection.

We considered both the systematic bias and the stochastic noise (variance) of the distance estimators, and examined the tradeoff between these two factors.