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Closeness of computations or estimates to the exact or true values that the statistics were intended to measure.

In SDMX, "Accuracy" refers to the provision of either measures of accuracy or precision (numerical results of the methods/processes for assessing the accuracy or precision of data) or qualitative assessment indicators. It may also be described in terms of the major sources of error that potentially cause inaccuracy. It includes providing the results of the assessment of source data for coverage, sampling error, response error and non-sampling error.

The accuracy of statistical information is the degree to which the information correctly describes the phenomena it was designed to measure. It is usually characterized in terms of error in statistical estimates and is traditionally decomposed into bias (systematic error) and variance (random error) components. It may also be described in terms of the major sources of error that potentially cause inaccuracy (e.g., coverage, sampling, non response, response). (Statistics Canada, "Statistics Canada Quality Guidelines", 4th edition, October 2003, page 6-7, available at http://www.statcan.ca:8096/bsolc/english/bsolc?catno=12-539-X&CHROPG=1)

is the second quality component in the Eurostat Definition.

Source Publication:
The International Statistical Institute, “The Oxford Dictionary of Statistical Terms”, edited by Yadolah Dodge, Oxford University Press, 2003.

Cross References:
Error, statistical
Quality – Eurostat
Quality – IMF
Statistical Data and Metadata Exchange (SDMX)
Statistical error

Statistical Theme: Quality, statistical

Glossary Output Segments:

Created on Tuesday, September 25, 2001

Last updated on Wednesday, March 8, 2006