Statistical decision methods: choose, quantify, validate
This territory links variable type, sampling design, estimand and error cost. The test or model comes after the question, never before it.
Scientific editorial team: Marketing Science Center
Direct answer
Choose a method consistent with the question and make decision uncertainty visible.
This territory links variable type, sampling design, estimand and error cost. The test or model comes after the question, never before it.
Question → design → estimand → uncertainty → decision boundaryESTIMAND
Estimation profile
- Unit of analysis
Decision × population × horizon- Exact estimand
A defensible chain from question to evidence- Model or deliverable
Question → design → estimand → uncertainty → decision boundary
01—07
Territory pathway
01—08
Verifiable analysis framework
- 01Question
Statistical decision methods: choose, quantify, validate
- 02Estimand
A defensible chain from question to evidence ·
Decision × population × horizon - 03Data
population · unit_of_analysis · decision_horizon · outcome · assumptions - 04Model or deliverable
Question → design → estimand → uncertainty → decision boundary - 05Declared calculation
Question → design → estimand → uncertainty → decision boundary→ A defensible chain from question to evidence - 06Uncertainty checks
Unique decision intent · Explicit identification assumptions · Reproducible evidence trail
- 07Method-specific validation
Check data, estimate stability and interpretation limits. Unique decision intent · Explicit identification assumptions · Reproducible evidence trail
- 08Limitations
Guarantee a correct decision from statistical significance alone.
Required variables
populationunit_of_analysisdecision_horizonoutcomeassumptions
Checks
- Unique decision intent
- Explicit identification assumptions
- Reproducible evidence trail
Choose a method consistent with the question and make decision uncertainty visible.
Guarantee a correct decision from statistical significance alone.
Scientific sources