Data imputation

Data imputation

Data imputation involves representing missing values in a dataset. Missing data create a number of potential challenges for statistical analysis. Missing values can increase the chances of making Type I and Type II errors, reduce statistical power, and limit the reliability of confidence intervals....

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Bibliographic Details
Main Author: ROSENTHAL, Sonny
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2017
Subjects:
imputation
linear regression
maximum likelihood
measurement error
missing values
Communication
Critical and Cultural Studies
Online Access:https://ink.library.smu.edu.sg/cis_research/212
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/cis_research/212

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