Measurement error, skewness, and risk analysis: Coping with the long tail of the distribution

Risk Analysis

Volumn 22, Issue 2, 2002, Pages 277-290

  Mumpower, Jeryl L ^a   McClelland, Gary ^b  

^a STATE UNIVERSITY OF NEW YORK   (United States)

^b UNIVERSITY OF COLORADO   (United States)

Author keywords

Decision analysis; Distribution of products; Measurement error; Probabilistic risk analysis; Skewness

Indexed keywords

DECISION MAKING; ERROR ANALYSIS; PROBABILITY;

SKEWED DISTRIBUTIONS;

RISK ASSESSMENT;

ERROR ANALYSIS; MEASUREMENT METHOD; RISK ASSESSMENT; STATISTICAL ANALYSIS;

ANALYTICAL ERROR; ARTICLE; BIOSTATISTICS; CALCULATION; DECISION MAKING; MATHEMATICAL MODEL; MEASUREMENT; RISK ASSESSMENT; STATISTICAL ANALYSIS;

EID: 0036093310     PISSN: 02724332     EISSN: None     Source Type: Journal    
DOI: 10.1111/0272-4332.00027     Document Type: Article

References (14)

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2. What have we learned about human judgment from thirty years of policy capturing?
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6. Knowing what you want: Measuring labile values
7. On the exact variance of products
8. The role of actuaries and underwriters in insuring ambiguous risks
9. Risk, ambiguity, insurance, and the winner's curse
10. Random error in additive decompositions of multiattribute utility
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12. Encoding subjective probabilities: A psychological and psychometric review