Studies in Support of the Application of Statistical Theory to Design and Evaluation of Operational Tests. Annex D. An Application of Bayesian Statistical Methods in the Determination of Sample Size for Operational Testing in the U.S. Army
Abstract
The impetus for this study was provided by the interest of the U.S. Army Operational Test and Evaluation Agency (OTEA) to investigate the possible application of Bayesian statistical analysis and decision theory to sample size determination for operational testing. In order to understand some of the procedures discussed later in this study, a basic knowledge of the nature of operational testing as performed by OTEA is necessary. The purpose of operational testing is to provide a source of data from which estimates may be developed as to the military utility, operational effectiveness and operational suitability of new weapon systems. This data is obtained through a sequence of three operational tests; each test in the sequence is completed and the results analyzed prior to beginning the next test. For ease of reference, these tests will be referred to as Operational Test I (OT I), Operational Test II (OT II) and Operational Test III (OT III). Once the data has been collected and the estimates developed an assessment is made of the new system's desirability as compared to systems which are already available.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 1977
- Accession Number
- ADA052076
Entities
People
- Robert M. Baker
Organizations
- Georgia Tech