Admissible Scoring Systems for Continuous Distributions,
Abstract
The use of admissible scoring systems as a measure of probabilistic forecasts is becoming increasingly well-known in those cases where the forecast is a discrete distribution over a finite number of alternatives. The defining property of an admissible scoring system is that any individual perceives himself as maximizing his expected score by reporting his true subjective distribution.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 1974
- Accession Number
- ADA019351
Entities
People
- Thomas A. Brown
Organizations
- RAND Corporation