Publication:
Time series analysis of RTC Great Lakes recruit graduate data

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Authors
Bosque, Edward F.
Subjects
NA
Advisors
Euske, Kenneth J.
Date of Issue
1998-12
Date
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
This thesis formulates predictions for Recruit Training Command (RTC) Great Lakes' recruit graduation rates based on two econometric approaches. The Navy's recruit graduation rates exhibit pronounced seasonal and long-term behaviors, which tends to cause logistical problems at RTC. The modeling and subsequent forecast of RTC graduation rates is therefore an important management tool which could facilitate future planning for both RTC Great Lakes and the U. S. Navy. First the multiplicative decomposition method is employed to produce a model. As an alternative the autoregressive integrated moving average (ARIMA) process is used to describe the data. In both instances, satisfactory forecasting results are attained.
Type
Thesis
Description
Series/Report No
Department
Management
Organization
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NPS Report Number
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Funder
Format
viii, 44 p.;28 cm.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
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