A resampling approach for interval‐valued data regression

DOI10.1002/sam.11150OpenAlexW2120198264MaRDI QIDQ4969849

Muliang Peng, Yongho Jeon, Jeongyoun Ahn, Cheol-Woo Park

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/sam.11150

zbMATH Keywords

resamplingstatistical inferencelinear regressioninterval-valued data

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Related Items (9)

Constrained center and range joint model for interval-valued symbolic data regression ⋮ Lasso-constrained regression analysis for interval-valued data ⋮ On the numerical simulation of exponential decay and outbreak data sets involving uncertainties ⋮ M-LDQ feature embedding and regression modeling for distribution-valued data ⋮ An exponential-type kernel robust regression model for interval-valued variables ⋮ An exploratory data analysis in scale-space for interval-valued data ⋮ Off the beaten track: a new linear model for interval data ⋮ Interval-valued data regression using nonparametric additive models ⋮ Functional linear models for interval-valued data

This page was built for publication: A resampling approach for interval‐valued data regression