Forecasting enlisted attrition in the United States Marine Corps by grade and years of service

Approved for public release; distribution is unlimited. === The purpose of this thesis is to analyze historical United States Marine Corps enlisted attrition behavior and apply time series forecasting techniques by grade and Years of Service in order to identify methods to improve manpower analyst...

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Main Author: Tamayo, Bill C.
Other Authors: Seagren, Chad
Published: Monterey, California. Naval Postgraduate School 2012
Online Access:http://hdl.handle.net/10945/5738
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spelling ndltd-nps.edu-oai-calhoun.nps.edu-10945-57382015-08-06T16:02:40Z Forecasting enlisted attrition in the United States Marine Corps by grade and years of service Tamayo, Bill C. Seagren, Chad Arkes, Jeremy Naval Postgraduate School (U.S.). Graduate School of Business and Public Policy (GSBPP) Approved for public release; distribution is unlimited. The purpose of this thesis is to analyze historical United States Marine Corps enlisted attrition behavior and apply time series forecasting techniques by grade and Years of Service in order to identify methods to improve manpower analysts' ability to effectively forecast attrition behavior. This study compared the results of one to five-year Moving Average models and the results of one to five-year Weighted Moving Average models based on two Measures of Effectiveness, Mean Square Error and the Mean Absolute Percent Error. The results of the Friedman test indicate statistical significance of the results in relation to the Mean Square Error of the one to two-year Moving Average models. This thesis demonstrates that in most cases, a simple one-year Moving Average more effectively estimates attrition behavior than the other Moving Average or Weighted Moving Average models analyzed. 2012-03-14T17:46:35Z 2012-03-14T17:46:35Z 2011-03 Thesis http://hdl.handle.net/10945/5738 720401411 This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, it may not be copyrighted. Monterey, California. Naval Postgraduate School
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description Approved for public release; distribution is unlimited. === The purpose of this thesis is to analyze historical United States Marine Corps enlisted attrition behavior and apply time series forecasting techniques by grade and Years of Service in order to identify methods to improve manpower analysts' ability to effectively forecast attrition behavior. This study compared the results of one to five-year Moving Average models and the results of one to five-year Weighted Moving Average models based on two Measures of Effectiveness, Mean Square Error and the Mean Absolute Percent Error. The results of the Friedman test indicate statistical significance of the results in relation to the Mean Square Error of the one to two-year Moving Average models. This thesis demonstrates that in most cases, a simple one-year Moving Average more effectively estimates attrition behavior than the other Moving Average or Weighted Moving Average models analyzed.
author2 Seagren, Chad
author_facet Seagren, Chad
Tamayo, Bill C.
author Tamayo, Bill C.
spellingShingle Tamayo, Bill C.
Forecasting enlisted attrition in the United States Marine Corps by grade and years of service
author_sort Tamayo, Bill C.
title Forecasting enlisted attrition in the United States Marine Corps by grade and years of service
title_short Forecasting enlisted attrition in the United States Marine Corps by grade and years of service
title_full Forecasting enlisted attrition in the United States Marine Corps by grade and years of service
title_fullStr Forecasting enlisted attrition in the United States Marine Corps by grade and years of service
title_full_unstemmed Forecasting enlisted attrition in the United States Marine Corps by grade and years of service
title_sort forecasting enlisted attrition in the united states marine corps by grade and years of service
publisher Monterey, California. Naval Postgraduate School
publishDate 2012
url http://hdl.handle.net/10945/5738
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