Information Criteria for Outlier Detection Avoiding Arbitrary Significance Levels-Reference-Cited by-同舟云学术

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Information Criteria for Outlier Detection Avoiding Arbitrary Significance Levels

Published:2022-02 Issue: Volume: Page:
ISSN:2452-3062
Container-title:Econometrics and Statistics
language:en
Short-container-title:Econometrics and Statistics

Author:

Riani Marco,Atkinson Anthony Curtis^ORCID,Corbellini Aldo,Farcomeni Alessio,Laurini Fabrizio^ORCID

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Statistics and Probability

Reference38 articles.

1. A new look at the statistical model identification;Akaike;IEEE Transactions on Automatic Control,1974

2. Plots, Transformations, and Regression;Atkinson,1985

3. Exploring Multivariate Data with the Forward Search;Atkinson,2004

4. The analysis of transformations for profit-and-loss data;Atkinson;Applied Statistics,2020

5. The Box-Cox transformation: review and extensions;Atkinson;Statistical Science,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Local influence analysis in the softplus INGARCH model;TEST;2024-05-22

2. Automatic robust Box–Cox and extended Yeo–Johnson transformations in regression;Statistical Methods & Applications;2022-06-08

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