Statistical Computation with Mixture Data

• Activity Number: 544
• Type: Contributed
• Date/Time: Wednesday, August 3, 2016 : 10:30 AM to 12:20 PM
• Sponsor: Section on Statistical Learning and Data Science
• Author(s): Shiju Zhang*
• Companies: St. Cloud State University
• Keywords: missing data ; mixture distribution

Abstract

In some situations, data on major variables are available, yet data on an auxiliary variable might be missing. Under some reasonable assumptions, we develop methods that still allow an efficient estimation of an interest quantity under some reasonable assumptions. The method will be demonstrated with examples and simulations.