Estimating missing values from negligible interactions in factorial designs-Reference-Cited by-同舟云学术

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Estimating missing values from negligible interactions in factorial designs

Published:2017-06-13 Issue:6 Volume:33 Page:1235-1247
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Qual. Reliab. Engng. Int.

Author:

Xampeny Rafel¹^ORCID,Grima Pere¹^ORCID,Tort-Martorell Xavier¹^ORCID

Affiliation:

1. Department of Statistics and Operations Research; Universitat Politècnica de Catalunya, BarcelonaTech; Barcelona Spain

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Reference5 articles.

1. Estimating missing values in unreplicated two-level factorial and fractional factorial designs;Draper;Biometrics,1964

2. A simple way to deal with missings observations from DOE;Box;Quality Engineering,1990

3. Economical experimentation via “lean design”;Goh;Quality and Reliability Engineering International,1996

4. Estimation of missing observations in two-level split-plot designs;Almimi;Quality and Reliability Engineering International,2008

5. Iterative designed experiment analysis (IDEA);Zhou;Quality and Reliability Engineering International,2016

Cited by 6 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. A novel graph-based missing values imputation method for industrial lubricant data;Computers in Industry;2023-09

2. Incomplete data processing method based on the measurement of missing rate and abnormal degree: Take the loose particle localization data set as an example;Expert Systems with Applications;2023-04

3. Saving runs in fractional factorial designs;Quality Engineering;2018-12-27

4. Consequences of using estimated response values from negligible interactions in factorial designs;Quality and Reliability Engineering International;2018-12-21

5. Which runs to skip in two-level factorial designs when not all can be performed;Quality Engineering;2018-04-04

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