A Missing Technique for Estimating Missing Values

• Activity Number: 604
• Type: Contributed
• Date/Time: Wednesday, August 3, 2016 : 2:00 PM to 3:50 PM
• Sponsor: Section on Statistical Computing
• Author(s): Silvia Sharna* and Mian Adnan and Rahmatullah Imon
• Companies: Ball State University and Ball State University and Ball State University
• Keywords: Average Log Likelihood Function ; Combination ; Dummy Missing Value ; Likelihood Rate ; Simple Random Sample

Abstract

A missing value resembles not necessarily only the unknown data of an unknown probability of distribution but also their unknown characteristics. In this situation, it is better to construct a basket of characteristics based on assumed missing values. So, our immediate objective will be prudently picking the core characteristics for estimating the missing values and we refer this technique as "Missing" Technique.