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 ?
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.
s (1978) algorithm at least yields a maximum value for the variance of the observational noise and thus sets an upper limit to the amount of noise reduction and smoothing that can be achieved.

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