Observational Noise

Observational Noise

The error between the true value in a system and its observed value due to imprecision in measurement. Also called Measurement Noise. See: Dynamical Noise.

Observational Noise

An error resulting from an inaccurate measurement. Many analysts use multiple indicators and multiple measurements of the same indicator to reduce observational noise as much as possible. It is also called measurement noise.
References in periodicals archive ?
While this lack of clarity may be due in part to observational noise, it may also be due to the cancellation of greenhouse gas warming by aerosol cooling.
The effect of the high-frequency observational noise on the properties of the method of jump detection is evaluated by means of the models of VLBI, GPS, and climatic variations, whose high-frequency oscillations are derived from the real data.
Thus, properties like time resolution of the physiological time series under investigation, the effect of the observational noise, and the presence of nonlinear effects should been taken into account for selecting measures for edge definition.
The selection of an appropriate value for the threshold [epsilon] can be made by taking into account the influence of the observational noise that could affect the experimental measures and the minimum distance between the trajectories of the two systems.
Arecchi, "Influence of observational noise on the recurrence quantification analysis," Physica D: Nonlinear Phenomena, vol.
In the context of reducing the influence of observational noise in time series data, Cleveland and Tiao (1976) first developed a noise-reduction and smoothing algorithm for processes that could be described by an ARIMA time series model.
Although true variability in the underlying population due to population-dynamic processes is reflected in the variability of an index, so too is observational noise arising both from within-survey sampling variability as well as from environmentally driven factors that affect catchability.

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