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ujesssss ujesssss
wrote...
Posts: 490
4 years ago
All quantitative models are typically made up of four basic components. List and describe them as well as what links them together.
Textbook 
Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support

Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support


Edition: 11th
Authors:
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Replies
wrote...
4 years ago
1. Result (outcome) variables reflect the level of effectiveness of a system; that is, they indicate how well the system performs or attains its goal(s). These variables are outputs.
2. Decision variables describe alternative courses of action. The decision maker controls the decision variables.
3. Uncontrollable variables or parameters are factors that affect the result variables but are not under the control of the decision maker. Either these factors can be fixed, in which case they are called parameters, or they can vary, in which case they are called variables.
4. Intermediate result variables reflect intermediate outcomes in mathematical models.
ujesssss Author
wrote...
4 years ago
Thank you, thank you, thank you!
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