The Purpose of Mixed-Effects Models in Test and Evaluation

August, 2019
IDA document: D-10853
FFRDC: Systems and Analyses Center
Type: Documents
Division: Operational Evaluation Division
Rebecca Medlin, John T. Haman, Matthew R. Avery, Heather Wojton See more authors
All analyses of operational test data should account for uncertainty. Data from operational tests typically include statistical noise contributed from multiple sources. Mixed models, a standard technique for analyzing observations with an intra-group correlation structure, are a common way to model this type of data.