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Buttercup's Advice: A Tale of Data Definition
by
Farwell, David C
in
Air force
/ Air forces
/ Aircraft
/ Armed forces
/ Average cost
/ Aviation
/ Case studies
/ Cost analysis
/ Cost estimates
/ Costs
/ Data
/ Fixed costs
/ Flying
/ Inflation rates
/ Information systems
/ Information technology
/ Maintenance costs
/ Management science
/ Marginal costs
/ military: cost effectiveness
/ Naval fleets
/ Normalization
/ Requirements
/ Variable costs
/ Variables
1980
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Buttercup's Advice: A Tale of Data Definition
by
Farwell, David C
in
Air force
/ Air forces
/ Aircraft
/ Armed forces
/ Average cost
/ Aviation
/ Case studies
/ Cost analysis
/ Cost estimates
/ Costs
/ Data
/ Fixed costs
/ Flying
/ Inflation rates
/ Information systems
/ Information technology
/ Maintenance costs
/ Management science
/ Marginal costs
/ military: cost effectiveness
/ Naval fleets
/ Normalization
/ Requirements
/ Variable costs
/ Variables
1980
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Do you wish to request the book?
Buttercup's Advice: A Tale of Data Definition
by
Farwell, David C
in
Air force
/ Air forces
/ Aircraft
/ Armed forces
/ Average cost
/ Aviation
/ Case studies
/ Cost analysis
/ Cost estimates
/ Costs
/ Data
/ Fixed costs
/ Flying
/ Inflation rates
/ Information systems
/ Information technology
/ Maintenance costs
/ Management science
/ Marginal costs
/ military: cost effectiveness
/ Naval fleets
/ Normalization
/ Requirements
/ Variable costs
/ Variables
1980
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Journal Article
Buttercup's Advice: A Tale of Data Definition
1980
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Overview
One of the more significant problems facing the Management Scientist is the difference between the data required for a model and the data available from existing information systems. This is a particularly acute problem when one is cost-modeling government operations. Government general accounting systems are established to keep tabs on the obligation of monies appropriated and do not lend themselves to the definitional forms required for operations costing. To redefine this accounting data is a research task in itself which must be accomplished prior to model building. This is the story of one such effort; it shows that redefinition can be successfully accomplished, but that the research to normalize the data may very well account for the majority of the modeling task.
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