Comparison of Imputation Methods for Mixed Data Missing at Random
A statistician's job is to produce statistical models. When these models are precise and unbiased, we can relate them to new data appropriately. However, when data sets have missing values, assumptions to statistical methods are violated and produce biased results. The statistician's objec...
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| Format: | Others |
| Language: | English |
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Digital Commons @ East Tennessee State University
2019
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| Online Access: | https://dc.etsu.edu/etd/3559 https://dc.etsu.edu/cgi/viewcontent.cgi?article=5014&context=etd |