imputation Sentence Examples
- Imputation methods allow researchers to estimate missing data based on observed values.
- Multiple imputation techniques help mitigate bias and increase the accuracy of statistical inferences.
- The choice of imputation method depends on the type and distribution of missing data.
- Imputation by substitution replaces missing values with a single value, such as the mean or mode.
- Imputation by regression uses observed variables to predict missing values using a statistical model.
- Imputation by stochastic regression multiple imputes missing values using random samples from a distribution.
- Imputation by nearest neighbors assigns missing values based on similar observations in the dataset.
- Imputation by synthetic data creation involves generating plausible values for missing data based on known patterns.
- Sensitivity analyses are crucial to assess the robustness of imputation results to different assumptions.
- Imputation can enhance the completeness and validity of datasets, enabling more reliable and accurate data analysis.
imputation Meaning
imputation (n)
a statement attributing something dishonest (especially a criminal offense)
the attribution to a source or cause
imputation ()
The act of imputing or charging; attribution; ascription; also, anything imputed or charged.
Charge or attribution of evil; censure; reproach; insinuation.
A setting of something to the account of; the attribution of personal guilt or personal righteousness of another; as, the imputation of the sin of Adam, or the righteousness of Christ.
Opinion; intimation; hint.
Synonyms & Antonyms of imputation
FAQs About the word imputation
a statement attributing something dishonest (especially a criminal offense), the attribution to a source or causeThe act of imputing or charging; attribution; a
insinuation, libel, innuendo, indignity, smear,suggestion, insult, aspersion, affront, intimation
No antonyms found.
Imputation methods allow researchers to estimate missing data based on observed values.
Multiple imputation techniques help mitigate bias and increase the accuracy of statistical inferences.
The choice of imputation method depends on the type and distribution of missing data.
Imputation by substitution replaces missing values with a single value, such as the mean or mode.
