The impact of misclassifications and outliers on imputation methods-Reference-Cited by-同舟云学术

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The impact of misclassifications and outliers on imputation methods

Published:2024-03-05 Issue: Volume: Page:1-35
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Templ M.¹^ORCID,Ulmer Markus²^ORCID

Affiliation:

1. Institute for Competitiveness and Communication, School of Business, University of Applied Sciences and Art Northwestern Switzerland, Olten, Switzerland

2. Institute of Data Analysis and Process Design, School of Engineering, Zurich University of Applied Sciences, Winterthur, Switzerland

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2024.2325969

Reference69 articles.

1. The BACON-EEM algorithm for multivariate outlier detection in incomplete survey data;Béguin C.;Surv. Methodol.,2008

2. Performance of a general location model with an ignorable missing-data assumption in a multivariate mental health services study

3. From predictive methods to missing data imputation: An optimization approach;Bertsimas D.;J. Mach. Learn. Res.,2018

4. Treatment of multivariate outliers in incomplete business survey data;Bill M.;Austrian J. Stat.,2016

5. N.A. Campbell Bushfire maping using NOAA AVHRR data Technical Report CSIRO 1989.

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