Distribution fitting for incomplete data

• Main Author: Ooi, Eileen Pei Shan.
• Other Authors: Tan Cher Ming
• Format: Final Year Project
• Language: English
• Published: 2011
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: http://hdl.handle.net/10356/45865
• Institution: Nanyang Technological University

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.