measurement error
observation error

"You are not positive the difference is real rather than a measurement error."

That's the nature of large numbers - there is inherent measurement error.

In addition, your thermometer has measurement error that must be considered.

There are two main sources of measurement error which reduce reliability.

Often the data reduction is undertaken in the presence of reading or measurement errors.

The difference in temperature is about the same as or less than the measurement error, isn't it?

Measurement error and statistical uncertainty are also present in all measurements.

Consequently, power can often be improved by reducing the measurement error in the data.

They can also eliminate measurement errors caused by ground loops.

To understand this, consider the measurement error as follows.

Similarly, repeated measures may each contain a degree of measurement error.

Usually measurement error models are described using the latent variables approach.

Due to measurement errors, certain datasets present a large number of shadow points.

These combined increased the chance and amount of measurement error for such responders.

Other methods include measurement error models and a particular kind of principal component analysis.

However, in 2012 it was found that this result was due to measurement errors.

All measurements were made by the same two investigators in an attempt to limit measurement errors.

Measurement errors in physical experiments are often modeled by a normal distribution.

Differences in the quality of films between clinics and subjects may have introduced some measurement error.

To account for measurement errors on individual runs, the benchmark was run three times each and the results were averaged.

This strain on the element wire will result in a thermal measurement error.

Correlations between parameters are diluted or weakened by measurement error.

As much as twenty percent of the variance is due measurement error.

It is impossible, because of measurement errors, to perfectly specify atmospheric conditions at any one time, he said.

Measurement error variance is lowest for the Jeffrey lab protocol.

The modified observation error can be written in the transformed states .

Because it uses wind and relative humidity, it is also very sensitive to weather observation errors.

Experimental uncertainty, aka observation error, which comes from the variability of experimental measurements.

However the accuracy of these will affect the following transformation parameters, as these points will contain observation errors.

Data binning is a data pre-processing technique used to reduce the effects of minor observation errors.

Here the dependent variables corresponding to such future application would be subject to the same types of observation error as those in the data used for fitting.

Accuracy of readings obtained is also often compromised by miscounting division markings, errors in mental arithmetic, parallax observation errors, and less than perfect eyesight.

In the case of the sliding mode observer for the system with the input, additional conditions are needed for the observation error to be independent of the input.

Hipparchus' equinox observations gave varying results, but he himself points out (quoted in Almagest III.1(H195)) that the observation errors by himself and his predecessors may have been as large as 1/4 day.

It is not the same as that of air, but the difference is so slight that it is practically within the limits of observation error; so small is the difference that there is no 'rainbow' effect.

The basic ideas and approaches were stated in his doctor thesis "Mathematical Processing of Astronomic and Space Information in case of the Non-Gauss Observation Errors", presented by Dzhun in 1992.

Such a requirement may not be met if either there is too much dependence in the data (for example, if new observations are essentially identical to existing observations), or if new independent observations are subject to an increasing observation error.

When errors in the independent variable are non-negligible, models of measurement error can be used; such methods can lead to parameter estimates, hypothesis testing and confidence intervals that take into account the presence of observation errors in the independent variables.

Wundt realized that the time it takes to see the stimulus of the star and write down the time was being called an "observation error" but actually was the time it takes to switch voluntarily one's attention from one stimulus to another.

This notation was also used to indicate an observation error so it was not until the original records of the observatory were reviewed that it was established with certainty that the object was Neptune and the position error in the observations made two nights apart was due to the planet's motion across the sky.