F

Failed Edit Graph

As used by the U.S. Bureau of the Census, a graph containing nodes (corresponding to fields) which are connected by arcs (an arc between two nodes indicates that the two fields are involved in an edit failure.) Deleting a node is equivalent to choosing that field to be imputed. A minimal set of deleted nodes is equivalent to a minimal set as defined by Fellegi and Holt.

Source: UNECE Data Editing Group

Fatal Edit

Identifies data errors with certainty. Examples are a geographic code for a Canadian province that does not exist in a table of acceptable geographic codes.

Source: UNECE Data Editing Group

See also: Fatal Errors

Fatal Errors

Errors identified by fatal edits.

Source: UNECE Data Editing Group

See also: Fatal Edit

Feerd-Hastly Method

See: Least Squares Method For Autocorrection

Fellegi Factor Check

Check of measuring units verifying whether the data has been given in correct units.

Source: UNECE Data Editing Group

Fellegi-Holt Systems (tenets, principles)

In reference to assumptions and editing and imputation goals put forth by Fellegi and Holt in their 1976 Journal of the American Statistical Association paper. A key feature of the Fellegi-Holt model is that it shows that implied edits are needed to assure that a set of values in data fields that are not imputed always lead to final (imputed) records that satisfy all edits.

Source: UNECE Data Editing Group

Fitting (fixed constraint check, range check)

Verifying whether the data item value is in the previously specified interval.

Source: UNECE Data Editing Group

Fixed Constraint Check

See: Fitting

Formal Edit (functional check, arithmetical edit)

Verifying whether the given functions of two or more data items meet the given condition.

Source: UNECE Data Editing Group

Functional Check

See Formal Edit