


Definition: 
The difference between an estimated value and the true value of a parameter or, sometimes, of a value to be predicted.

Context: 
It is immediately associated with accuracy since accuracy is used to mean "the inverse of the total error, including bias and variance" (Kish L., "Survey Sampling", 1965). The larger the error, the lower the accuracy.

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

Statistical
Theme: Methodological information (metadata) 
Glossary
Output Segments: 
SDMX

Created
on Thursday, January 29, 2004 
Last
updated on Monday, December 19, 2005 












