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Developing a Predictive Model for Unscheduled Maintenance Requirements on United States Air Force Installations - Softcover

 
9781249584292: Developing a Predictive Model for Unscheduled Maintenance Requirements on United States Air Force Installations

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The United States Air Force Civil Engineer community continually strives for more descriptive methods to explain the impact of funding decisions on future infrastructure conditions. This paper develops one such method by using linear regression and time series analysis to develop a predictive model to forecast future year man-hour and funding requirements for unscheduled maintenance. The results provide predictive models for up to a 5 year forecast with improved results for a 3 year outlook and routine maintenance calls.

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Dr. J. Renae Norton, clinical psychologist/director of the NDr. J. Renae Norton, clinical psychologist/director of the Norton Center for Eating Disorders in Hyde Park, a suburb of orton Center for Eating Disorders in Hyde Park, a suburb of Cincinatti, Ohio, is very concerned about the epidemic of obCincinatti, Ohio, is very concerned about the epidemic of obesity among US children. She has two grandchildren & a belovesity among US children. She has two grandchildren & a beloved Canine named Maji. All four walk the talk when it comes ted Canine named Maji. All four walk the talk when it comes to lifestyle: playing outdoors, shooting hoops, gardening, & o lifestyle: playing outdoors, shooting hoops, gardening, & eating foods that come out of the ground instead of out of aeating foods that come out of the ground instead of out of a bag. Author available for speaking engagements, etc. www.ea bag. Author available for speaking engagements, etc. www.eatingdisorderpro.com tingdisorderpro.com

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  • PublisherBiblioscholar
  • Publication date2012
  • ISBN 10 1249584299
  • ISBN 13 9781249584292
  • BindingPaperback
  • LanguageEnglish
  • Number of pages74

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Taschenbuch. Condition: Neu. Neuware - The United States Air Force Civil Engineer community continually strives for more descriptive methods to explain the impact of funding decisions on future infrastructure conditions. This paper develops one such method by using linear regression and time series analysis to develop a predictive model to forecast future year man-hour and funding requirements for unscheduled maintenance. The results provide predictive models for up to a 5 year forecast with improved results for a 3 year outlook and routine maintenance calls. Seller Inventory # 9781249584292

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