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Among the various types of error that must be taken into account are errors of observation (which include instrumental errors, personal errors, systematic errors, and random errors), errors of sampling, and direct and indirect errors (in which one erroneous measurement is used in computing other measurements).
The distribution data are subjected to various types of error consistent with available measurement technologies and then introduced as input data to the inverse PBE modeling algorithm, which includes validation of the self-similar assumption.
As a result, the reconstruction process is sensitive to various types of error sources, as indicated in [16].
With the same aim, a study of various types of error and of their effect on 3D reconstruction results obtained using a structured light technique has been presented by Yang and Wang in [6].
However, self-reported data from household survey reports are subject to various types of error.
While data linkage is an important tool in observational research, it may be associated with various types of error.
Similar(51)
Any observation can contain various types of errors (Fan 1997; New Jersey Institute of Technology 2007).
This is attributable to various types of errors in the Tandem-X DSM.
The sequencing step introduces various types of errors related to the pyrosequencing chemistry and detection technology.
In the following a detailed discussion is given on the various types of errors which occur.
This is attributed to various types of errors in the InSAR data, largely due to phase noise.
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