A linear regression model for imprecise response

International Journal of Approximate Reasoning

Volumn 51, Issue 7, 2010, Pages 759-770

  Ferraro, M B ^a   Coppi, R ^a   Gonzalez Rodriguez G ^b   Colubi, A ^c  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

^b EUROPEAN CENTRE FOR SOFT COMPUTING   (Spain)

^c UNIVERSITY OF OVIEDO   (Spain)

Author keywords

Asymptotic distribution; Interval data; Least squares approach; LR fuzzy data; Regression models

Indexed keywords

ASYMPTOTIC DISTRIBUTIONS; ASYMPTOTIC PROPERTIES; CASE-STUDIES; CONFIDENCE REGION; CONVEX CONE; ESTIMATION PROBLEM; EXPLANATORY VARIABLES; FUZZY DATA; FUZZY NUMBERS; FUZZY RANDOM VARIABLE; HYPOTHESIS TESTING; INTERVAL DATA; LEAST-SQUARES APPROACH; LIMIT DISTRIBUTION; LINEAR REGRESSION MODELS; NATURAL GENERALIZATION; RANDOM VALUES;

ASYMPTOTIC ANALYSIS; CONES; FUZZY RULES; FUZZY SETS; LINEAR REGRESSION; REAL VARIABLES; STATISTICAL TESTS;

RANDOM VARIABLES;

EID: 77955466732     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijar.2010.04.003     Document Type: Article

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