A new lack‐of‐fit test for quantile regression with censored data-Reference-Cited by-同舟云学术

A new lack‐of‐fit test for quantile regression with censored data

Published:2021-01-28 Issue:2 Volume:48 Page:655-688
ISSN:0303-6898
Container-title:Scandinavian Journal of Statistics
language:en
Short-container-title:Scand J Statist

Author:

Conde‐Amboage Mercedes¹²,Van Keilegom Ingrid²^ORCID,González‐Manteiga Wenceslao¹

Affiliation:

1. Models of Optimization, Decision, Statistics and Applications Research Group (MODESTYA), Department of Statistics, Mathematical Analysis and Optimization Universidade de Santiago de Compostela Santiago de Compostela Spain

2. Research Centre for Operations Research and Statistics (ORSTAT) KU Leuven Leuven Belgium

Funder

European Regional Development Fund

H2020 European Research Council

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/sjos.12512

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4. Goodness-of-fit tests in semiparametric transformation models using the integrated regression function

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