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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| 格式: | text |
| 語言: | English |
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Institutional Knowledge at Singapore Management University
2017
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| 在線閱讀: | https://ink.library.smu.edu.sg/cis_research/212 |
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