Regression model for interval-valued variables based on copulas

DOI10.1080/02664763.2015.1015114OpenAlexW2075676344MaRDI QIDQ5130314

Ulisses U. dos Anjos, Eufrásio de A. Lima Neto

Publication date: 4 November 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2015.1015114

zbMATH Keywords

Monte Carlocopulasdevianceregression modelinterval variables

Mathematics Subject Classification ID

Linear inference, regression (62J99) General methods in interval analysis (65G40) Estimation in survival analysis and censored data (62N02)

Related Items (6)

A clusterwise nonlinear regression algorithm for interval-valued data ⋮ Interval-valued data regression using partial linear model ⋮ An exponential-type kernel robust regression model for interval-valued variables ⋮ Modeling the Variance of Return Intervals Toward Volatility Prediction ⋮ Interval-valued kriging for geostatistical mapping with imprecise inputs ⋮ Multiple linear regression models for random intervals: a set arithmetic approach

Uses Software

• SODAS

Cites Work

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