systematic error

Systematic error may be present but its treatment is outside the scope of regression analysis.

Systematic errors may also be present in the result of an estimate based on a mathematical model or physical law.

Thus the variability may be the result of systematic errors in measurement.

Note, however, that these confidence limits cannot take systematic error into account.

All measurements are prone to systematic errors, often of several different types.

At first it was thought that the declination must be the result of systematic error.

But, he added, "If there is a deep systematic error in the calculation of expected time difference, this remains."

Systematic error cannot be discovered this way because it always pushes the results in the same direction.

For two ports there are 12 possible systematic errors analogous to the three above.

Now these people have results plagued with systematic errors.

Or an unrepeated result caused by a systematic error in a long and complex process.

Systematic errors can also be detected by measuring already known quantities.

Systematic errors are those which do not vary with time during a calibration.

The central issue in behavioral finance is explaining why market participants make systematic errors.

But the hunt for any systematic errors remains a priority in the new observations and analysis by both groups.

This then means any further signal is due to the phenomenon being detected and not a systematic error.

These rules work well under most circumstances, but in certain cases lead to systematic errors or cognitive biases.

Systematic errors which change during an experiment (drift) are easier to detect.

Averaging measurements as described above lead to comparable results because they include the same amount of systematic errors.

Eliminating the systematic error improves accuracy but does not change precision.

It should be noted that only systematic errors can be corrected.

The validity of a study is dependent on the degree of systematic error.

Systematic errors such as seen in the picture are quantified by dummy variables.

The systematic error has been estimated to be .

This term "accuracy" includes both the systematic error and the bias component.