Author: C. Peter Rydell
Publisher:
ISBN:
Category : Time-series analysis
Languages : en
Pages : 168
Book Description
Short-term Aggregate Model for Projecting Air Force Enlisted Personnel (SAM)
Author: C. Peter Rydell
Publisher:
ISBN:
Category : Time-series analysis
Languages : en
Pages : 168
Book Description
Publisher:
ISBN:
Category : Time-series analysis
Languages : en
Pages : 168
Book Description
Middle-Term Aggregate Model for Projecting Air Force Enlisted Personnel
Author: C. Peter Rydell
Publisher:
ISBN:
Category : Personnel management
Languages : en
Pages : 276
Book Description
Publisher:
ISBN:
Category : Personnel management
Languages : en
Pages : 276
Book Description
The Benchmark Separation Projection Method for Predicting Monthly Losses of Air Force Enlisted Personnel
Author: C. Peter Rydell
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 136
Book Description
RAND is helping to design an Enlisted Force Management System (EFMS) for the Air Force. The efms is a decision support system designed to assist managers of the enlisted force in setting and meeting force targets. The system contains computer models that project the force resulting from given management actions, so actions that meet targets can be found. Some of those models analyze separate job specialties (disaggregate models) and others analyze the total enlisted force across all specialties (aggregate models); some models make annual projections (middle-term models) and others monthly projections. The Short-Term Aggregate Inventory Projection Model (SAM) is the component of the EFMS that makes monthly projections (for the rest of the current fiscal year) of the aggregate enlisted force.
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 136
Book Description
RAND is helping to design an Enlisted Force Management System (EFMS) for the Air Force. The efms is a decision support system designed to assist managers of the enlisted force in setting and meeting force targets. The system contains computer models that project the force resulting from given management actions, so actions that meet targets can be found. Some of those models analyze separate job specialties (disaggregate models) and others analyze the total enlisted force across all specialties (aggregate models); some models make annual projections (middle-term models) and others monthly projections. The Short-Term Aggregate Inventory Projection Model (SAM) is the component of the EFMS that makes monthly projections (for the rest of the current fiscal year) of the aggregate enlisted force.
Time Series Models for Predicting Monthly Losses of Air Force Enlisted Personnel
Author: Marygail K. Brauner
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 108
Book Description
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 108
Book Description
Aggregate Dynamic Analysis Model (ADAM) for Air Force Enlisted Personnel
The Robust Separation Projection Method for Predicting Monthly Losses of Air Force Enlisted Personnel
Author: Marygail K. Brauner
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 74
Book Description
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 74
Book Description
Aggregate Dynamic Analysis Model (ADAM) for Air Force Enlisted Personnel
Author: William T. Mickelson
Publisher:
ISBN:
Category :
Languages : en
Pages : 186
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 186
Book Description
Rand
Author: Rand Corporation
Publisher:
ISBN:
Category : Research
Languages : en
Pages : 124
Book Description
Publisher:
ISBN:
Category : Research
Languages : en
Pages : 124
Book Description
Aggregate Dynamic Analysis Model (ADAM) for Air Force Enlisted Personnel
Supplementary Historical Data Files for the Enlisted Force Management Project
Author: Warren E. Walker
Publisher:
ISBN:
Category :
Languages : en
Pages : 84
Book Description
This Note is intended to serve as a codebook for the data files that supplement the Enriched Airman Gain/Loss file (EAGL), the primary data source used by the Enlisted Force Management Project. The files contain historical information on unemployment rates, military compensation, reenlistment bonuses, Air Force Specialty groupings and conversions, civilian compensation, non-CONUS (continental U.S.) Personnel Accounting Symbol numbers, military/civilian wage ratios, and Separation Program Designator codes. Keywords: Air force; Air force personnel; Enlisted personnel; Personnel management; Data bases. (sdw).
Publisher:
ISBN:
Category :
Languages : en
Pages : 84
Book Description
This Note is intended to serve as a codebook for the data files that supplement the Enriched Airman Gain/Loss file (EAGL), the primary data source used by the Enlisted Force Management Project. The files contain historical information on unemployment rates, military compensation, reenlistment bonuses, Air Force Specialty groupings and conversions, civilian compensation, non-CONUS (continental U.S.) Personnel Accounting Symbol numbers, military/civilian wage ratios, and Separation Program Designator codes. Keywords: Air force; Air force personnel; Enlisted personnel; Personnel management; Data bases. (sdw).