A Comparison of Imputation Methods for Incomplete Categorical Data Using Latent Class Model
碩士 === 國立臺北大學 === 統計學系 === 96 === Survey is a popular research tool, but often causes missing values for some reasons. When the proportion of the missing value is high, it can seriously affect the conclusion. Imputation is an alternative is to handle missing data. For categorical missing data, bot...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2008
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| Online Access: | http://ndltd.ncl.edu.tw/handle/48069704306645691207 |