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Missing Data Imputation by Ravi Shireesh Kumar I is a document available to read on EtoBox.

What is Missing Data Imputation about?

The document provides a detailed guide on missing data imputation, outlining the mechanisms of missingness (MCAR, MAR, MNAR) and their implications. It discusses various imputation methods, including simple methods like mean and median imputation, as well as more advanced techniques such as regression imputation and k-Nearest Neighbors. The guide emphasizes multiple imputation as the gold standard for inference, generating multiple plausible datasets for more accurate estimates.

Author

Ravi Shireesh Kumar I

Language

EN