Distribution fitting for incomplete data
This report reviews the effects of missing data on probability distributions which covers two main topics: (1) types of probability distributions and goodness-of-fit tests, and (2) missing data mechanisms and missing data techniques (MDT). The focus is to investigate the effects of missing d...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2011
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| Online Access: | http://hdl.handle.net/10356/45865 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | This report reviews the effects of missing data on probability distributions which covers two main topics: (1) types of probability distributions and goodness-of-fit tests, and (2) missing data mechanisms and missing data techniques (MDT).
The focus is to investigate the effects of missing data of a specified probability distribution and determine the best methods to fill in the missing values. An overview and comparison of the complete-data cases and incomplete-data cases are provided. Multiple imputation and Listwise Deletion, which are the two MDTs used are also discussed. |
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