Date of Award
3-11-2011
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Operational Sciences
First Advisor
Raymond Hill, PhD.
Abstract
The use of Live, Virtual and Constructive (LVC) Simulation environments are increasingly being examined for potential analytical use particularly in test and evaluation. The LVC simulation environments provide a mechanism for conducting joint mission testing and system of systems testing when scale and resource limitations prevent the accumulation of the necessary density and diversity of assets required for these complex and comprehensive tests. The statistical experimental design process is re-examined for potential application to LVC experiments and several additional considerations are identified to augment the experimental design process for use with LVC. This augmented statistical experimental design process is demonstrated by a case study involving a series of tests on an experimental data link for strike aircraft using LVC simulation for the test environment. The goal of these tests is to assess the usefulness of information being presented to aircrew members via different datalink capabilities. The statistical experimental design process is used to structure the experiment leading to the discovery of faulty assumptions and planning mistakes that could potentially wreck the results of the experiment. Lastly, an aggressive sequential experimentation strategy is presented for LVC experiments when test resources are limited. This strategy depends on a foldover algorithm that we developed for nearly orthogonal arrays to rescue LVC experiments when important factor effects are confounded.
AFIT Designator
AFIT-GOR-ENS-11-07
DTIC Accession Number
ADA544636
Recommended Citation
Haase, Casey L., "Tailoring the Statistical Experimental Design Process for LVC Experiments" (2011). Theses and Dissertations. 1494.
https://scholar.afit.edu/etd/1494