Constrained linear regression models for symbolic interval-valued variables
- Auteur
- LIMA, Eufrásio De A1 ; DE CARVALHO, Francisco De A. T2
[1] Departamento de Estatística, Universidade Federal da Paraíba, Cidade Universitária s/n, CEP 58051-900, João Pessoa (PB), Brazil
[2] Centro de Informática, Universidade Federal de Pernambuco, Av. Prof. Luiz Freire, s/n, Cidade Universitária, CEP 50740-540, Recife (PE), Brazil - Source
Computational statistics & data analysis. 2010, Vol 54, Num 2, pp 333-347, 15 p ; ref : 3/4 p
- ISSN
- 0167-9473
- Domaine scientifique
- Mathematics
- Editeur
- Elsevier, Amsterdam
- Pays de publication
- Netherlands
- Type de document
- Article
- Langue
- English
- Mot clé (fr)
- Ajustement modèle Analyse corrélation Analyse donnée Analyse multivariable Analyse numérique Analyse performance Apprentissage Association statistique Calcul statistique Coefficient corrélation Configuration Contrainte inégalité Corrélation Distribution statistique Erreur moyenne Erreur quadratique moyenne Erreur systématique Estimation biaisée Estimation erreur Estimation moyenne Estimation statistique Modèle linéaire Modèle régression Moyenne Méthode Monte Carlo Méthode stochastique Processus stochastique Prédiction Régression linéaire Régression statistique Test ajustement Théorie approximation Théorie filtrage Théorie prédiction Variable indépendante 05Bxx 60G25 60J20 62E17 62H20 62J05 62Jxx 62M20 65C05 Coefficient détermination Variable dépendante
- Mot clé (en)
- Model matching Correlation analysis Data analysis Multivariate analysis Numerical analysis Performance analysis Learning Statistical association Statistical computation Correlation coefficient Configuration Inequality constraint Correlation Statistical distribution Mean error Mean square error Bias Biased estimation Error estimation Mean estimation Statistical estimation Linear model Regression model Average Monte Carlo method Stochastic method Stochastic process Prediction Linear regression Statistical regression Goodness of fit test Approximation theory Filtering theory Prediction theory Independent variable Determination coefficient Dependent variable
- Mot clé (es)
- Ajustamiento modelo Análisis correlación Análisis datos Análisis multivariable Análisis numérico Análisis eficacia Aprendizaje Asociación estadística Cálculo estadístico Coeficiente correlación Configuración Constreñimiento desigualdad Correlación Distribución estadística Error medio Error medio cuadrático Error sistemático Estimación sesgada Estimación error Estimación promedio Estimación estadística Modelo lineal Modelo regresión Promedio Método Monte Carlo Método estocástico Proceso estocástico Predicción Regresión lineal Regresión estadística Prueba ajuste Variable independiente
- Classification
- Pascal
- 001 Sciences exactes et technologie / 001A Sciences et techniques communes / 001A02 Mathematiques / 001A02H Probabilités et statistiques / 001A02H02 Statistiques / 001A02H02A Généralités
- Pascal
- 001 Sciences exactes et technologie / 001A Sciences et techniques communes / 001A02 Mathematiques / 001A02H Probabilités et statistiques / 001A02H02 Statistiques / 001A02H02I Analyse multivariable
- Pascal
- 001 Sciences exactes et technologie / 001A Sciences et techniques communes / 001A02 Mathematiques / 001A02H Probabilités et statistiques / 001A02H02 Statistiques / 001A02H02J Inférence linéaire, régression
- Pascal
- 001 Sciences exactes et technologie / 001A Sciences et techniques communes / 001A02 Mathematiques / 001A02I Analyse numérique. Calcul scientifique / 001A02I01 Analyse numérique / 001A02I01Q Probabilités et statistiques numériques
- Discipline
- Mathematics
- Provenance
- Inist-CNRS
- Base de données
- PASCAL
- Identifiant INIST
- 22122021
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.csda.2009.08.010 
https://dx.doi.org/10.1016/j.csda.2009.08.010
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