Measurement error

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Measurement error

Errors in measuring an explanatory variable in a regression, which leads to biases in estimated parameters.

Measurement Error

The difference between the value of some quantity and the value obtained by measuring it. It is nearly impossible to attain accurate measurements all the time, especially when one uses a single means of calculation. For this reason, when measuring the value of a company or asset, many analysts will check and double-check their work, and perhaps calculate the value using a different method, in order to ensure accuracy. See also: Audit, Due diligence.
References in periodicals archive ?
"[Shapiro reports that the] anticipated 'excess delay' was confirmed to within the limits of observational error, or about 20 percent.
The main reason for this difference is that scheme 2 provides a robust estimate; thus, the estimated results of this scheme are not optimal in cases where there is little or no gross observational error. The main advantage of our robust method is that it incorporates the ability to resist gross errors and can guarantee the validity and availability of the solution within a certain precision range for each epoch whether, or not, observations include gross errors.
where the matrix O stands for the observational error covariance matrix in the observation space.
Thus, individual observational error can be large, resulting in large MGEs and RMSEs.
Here, an alternative approach for assessing the models' performance is used, which considers the percentage of the models' data values that are within observational error ([E.sub.obs]).
Furthermore, bias in the estimate of effort at MSY is not of concern under the assumption [B.sub.1] = k whenever the observational error is used to fit the model (Punt, 1990).
Paiva & Segre (2003) introduced a easy technique for sex determination starting from the temporal bone, with a small observational error and with a high predictability degree.
In this paper tribute is paid to the de Zeeuw (1995, 1998, 2000) conception of scientific research as an evolving organized activity (2) that aims to improve upon observation, the most common types of improvement being `seeing better', for example through new and more powerful telescopes, and achieving `closure over observations', for example through bounding the observational error in, for example, the earth's gravitational constant.
And, with Egyptian concerns about precision - one might even say obsession with precision - an observational error of such magnitude would be unacceptable.
In Germany in the 1850s physiologists such as Karl Vierordt rejected physicist Gustav Radicke's work on medical observational error and deviation.
when given a physical interpretation, remain within the margins of observational error. It is also important to point out that mathematically, it is in principle decidable whether a dynamical system is stable or not, although in many cases it is a hard task in practice.
While it is possible that future developments in data assimilation may enable the discernment of model error from observational error in bias corrections, there is little doubt that highly accurate data will make any such discernment more tractable.
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