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ESTIMATION

Statistics Directorate    
French Equivalent: Estimation

Definition:
Estimation is concerned with inference about the numerical value of unknown population values from incomplete data such as a sample.

Context:
If a single figure is calculated for each unknown parameter the process is called point estimation. If an interval is calculated within which the parameter is likely, in some sense, to lie, the process is called interval estimation.

Sample survey data only relates to the units in the sample. Therefore the sample estimates need to be inflated to represent the whole population of interest. Estimation is the means by which this inflation occurs. The estimation process is also referred to as “grossing up”.

Under the SDDS, estimation is of particular relevance to deriving missing data in the compilation of national accounts and consumer and producer aggregates (e.g., extrapolation of annual benchmark using value or volume changes from industrial surveys, use of fixed input/output ratios, etc, for current price for national accounts, and price imputations for consumer and producer prices) and the techniques applied in updating the ancillary information used in the estimation process.

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

Cross References:
Compilation practices
Estimate
Estimator
Interval estimation
Point estimation
Special Data Dissemination Standard (SDDS)

Statistical Theme: Methodological information (metadata)

Glossary Output Segments:
SDMX
MetaStore

Created on Tuesday, September 25, 2001

Last updated on Tuesday, July 19, 2005