Estimating inter-deployment training cycle performances

Abstract

The objective of this thesis is to estimate Inter-Deployment Training Cycle (IDTC) performances of the US Pacific Fleet surface ships, which are evaluated at the end of the Basic Training Phase, by using Command Metrics Tool (COMET) metrics. The basic objective was primarily to decide whether the COMET database can be used to estimate performances of ships, and to build regression models to estimate Final Evaluation Problem (FEP) performances of ships. This study develops multivariate logit regression models to examine and explore the structure of the data sets. Most of the models developed according to statistical criteria include only the intercept, indicating that there is no real relationship between the COMET metrics and IDTC performances. The assessments made at the end of FEP are not good Measure of Performances (MOPs) by which to assess ships' IDTC performances.