What does imputation mean?
Imputation is the process of supplying a value for something missing or unknown, most often in a dataset. Instead of leaving gaps in records, analysts estimate the absent entries using methods such as averages, regression models, or multiple imputation. This can make analysis possible, although the results depend on the assumptions behind the estimates, and estimated values should generally be distinguished from directly observed data. In a different, specialized theological sense, imputation refers to the transfer of guilt or righteousness from one person to another. The statistical use is now the dominant sense in contemporary English, especially in data science, research, insurance, and machine learning. The word is useful because it names a common response to incomplete information while acknowledging that the resulting values are not necessarily facts. Careful practice requires documenting the method used and, where appropriate, testing how sensitive conclusions are to the choices made.
nounThe act of assigning or supplying a value to something missing or unknown, especially when making an estimate or completing a set of data. In theology, it may also refer to the transfer of a person's guilt or righteousness to another.
- The assignment or estimation of values for missing or unknown data.
- The theological doctrine or concept of transferring guilt, sin, or righteousness from one person to another.
"The researchers used statistical imputation to estimate the missing values before conducting the analysis."
"Multiple imputation was used to create alternative datasets without treating every estimated value as if it had been directly observed."
"The doctrine of imputation is associated with the idea that Adam's sin is reckoned to humanity."
The plural is used for distinct instances of estimating missing values, especially in the statistical technique known as multiple imputation.
"The researchers compared several imputations before selecting the final model."
In data science, imputation turns the holes in a dataset into estimated values, helping researchers test the limits of what can be inferred from incomplete information.
Reviewed by Deb Chak, Editor. AI-assisted content curated by RJS Tech Solutions LLP.
Words that share this root
Related word forms
How imputation is actually used
In statistics, data science, and research, the term is technical but widely understood in those fields. It should not imply that an estimated value was actually observed. In theology, the word is specialized and often has a moral or doctrinal implication.
Easily confused with imputation
Imputation is the process of supplying or estimating a missing value, whereas impute is the verb for attributing that value or responsibility to something.
Imputation may estimate missing values using statistical models or other information, while interpolation specifically estimates values from known values at surrounding points in a sequence.