A new method to fit a linear regression model for interval-valued data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3238 LNAI, Issue , 2004, Pages 295-306

  De Carvalho, Francisco De A T ^a   Lima Neto, Eufrasio De A ^a   Tenorio, Camilo P ^a  

^a FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; MEAN SQUARE ERROR; MONTE CARLO METHODS; REGRESSION ANALYSIS;

DEPENDENT VARIABLES; DETERMINATION COEFFICIENTS; INDEPENDENT VARIABLES; INTERVAL-VALUED DATA; LINEAR REGRESSION MODELS; LOWER AND UPPER BOUNDS; PREDICTION METHODS; ROOT MEAN SQUARED ERRORS;

LINEAR REGRESSION;

EID: 77049124833     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30221-6_23     Document Type: Conference Paper

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