Decision analysis¶
Howard, R. A. (1988). Decision analysis: Practice and promise. Management Science, 34(6), 679-695.
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Decision
- A financial analyst modeling stock selection and an environmental-policy analyst modeling climate action can both use decision frameworks grounded in uncertainty, trade-off, and commitment cost, a cross-domain transferability Howard (1988) articulated in his survey of decision analysis as a unifying applied discipline.
This sourceSurveys decision analysis as a transferable applied discipline grounded in normative principles, documenting its use across finance, medicine, engineering, and policy.
Supported in partVerified against the publisher's abstract
Howard's abstract frames decision analysis as a broad applied discipline rooted in uncertainty, but names no finance or climate domain, no trade-off, and no commitment cost, so it backs the frame only.
“Decision analysis stands on a foundation of hundreds of years of philosophical and practical thought about uncertainty and decision-making.”
- A financial analyst modeling stock selection and an environmental-policy analyst modeling climate action can both use decision frameworks grounded in uncertainty, trade-off, and commitment cost, a cross-domain transferability Howard (1988) articulated in his survey of decision analysis as a unifying applied discipline.
- Sensitivity Analysis (in Operations Research)
- Sensitivity analysis manages decision-making complexity by separating the point-solution problem (finding the optimum under a parameter set) from the robustness problem (understanding how the solution varies with parameter changes), a separation Howard (1988) frames as foundational to the practice of decision analysis.
This sourceSurvey of decision analysis as a transferable applied discipline: documents how the same decision-tree, expected-value, and sensitivity-analysis tools transfer across finance, medicine, engineering, and policy.
- Sensitivity analysis manages decision-making complexity by separating the point-solution problem (finding the optimum under a parameter set) from the robustness problem (understanding how the solution varies with parameter changes), a separation Howard (1988) frames as foundational to the practice of decision analysis.
Verification¶
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