Simple outlier detection for a multi‐environmental field trial
Author
Abstract
Suggested Citation
DOI: 10.1111/biom.13216
Download full text from publisher
References listed on IDEAS
- Gilmour, Arthur & Cullis, Brian & Welham, Sue & Gogel, Beverley & Thompson, Robin, 2004. "An efficient computing strategy for prediction in mixed linear models," Computational Statistics & Data Analysis, Elsevier, vol. 44(4), pages 571-586, January.
- Gumedze, Freedom N. & Welham, Sue J. & Gogel, Beverley J. & Thompson, Robin, 2010. "A variance shift model for detection of outliers in the linear mixed model," Computational Statistics & Data Analysis, Elsevier, vol. 54(9), pages 2128-2144, September.
- Schützenmeister, André & Piepho, Hans-Peter, 2012. "Residual analysis of linear mixed models using a simulation approach," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1405-1416.
- Alison Smith & Brian Cullis & Robin Thompson, 2001. "Analyzing Variety by Environment Data Using Multiplicative Mixed Models and Adjustments for Spatial Field Trend," Biometrics, The International Biometric Society, vol. 57(4), pages 1138-1147, December.
- G. N. Wilkinson & C. E. Rogers, 1973. "Symbolic Description of Factorial Models for Analysis of Variance," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 22(3), pages 392-399, November.
- Koller, Manuel, 2016. "robustlmm: An R Package for Robust Estimation of Linear Mixed-Effects Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 75(i06).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Brian R. Cullis & Alison B. Smith & Nicole A. Cocks & David G. Butler, 2020. "The Design of Early-Stage Plant Breeding Trials Using Genetic Relatedness," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 25(4), pages 553-578, December.
- Payne, Roger W., 1998. "Design keys, pseudo-factors and general balance," Computational Statistics & Data Analysis, Elsevier, vol. 29(2), pages 217-229, December.
- Pinho, Luis Gustavo B. & Nobre, Juvêncio S. & Singer, Julio M., 2015. "Cook’s distance for generalized linear mixed models," Computational Statistics & Data Analysis, Elsevier, vol. 82(C), pages 126-136.
- Francis K. C. Hui & Samuel Müller & Alan H. Welsh, 2021. "Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models," International Statistical Review, International Statistical Institute, vol. 89(1), pages 186-206, April.
- Bent Nielsen, 2014. "Deviance analysis of age-period-cohort models," Economics Papers 2014-W03, Economics Group, Nuffield College, University of Oxford.
- T. Caliński & S. Czajka & Z. Kaczmarek & P. Krajewski & W. Pilarczyk, 2005. "Analyzing Multi-environment Variety Trials Using Randomization-Derived Mixed Models," Biometrics, The International Biometric Society, vol. 61(2), pages 448-455, June.
- Rüdiger Lehmann & Michael Lösler & Frank Neitzel, 2020. "Mean Shift versus Variance Inflation Approach for Outlier Detection—A Comparative Study," Mathematics, MDPI, vol. 8(6), pages 1-21, June.
- Julio M. Singer & Francisco M.M. Rocha & Juvêncio S. Nobre, 2017. "Graphical Tools for Detecting Departures from Linear Mixed Model Assumptions and Some Remedial Measures," International Statistical Review, International Statistical Institute, vol. 85(2), pages 290-324, August.
- Quirin Gehmacher & Juliane Schubert & Fabian Schmidt & Thomas Hartmann & Patrick Reisinger & Sebastian Rösch & Konrad Schwarz & Tzvetan Popov & Maria Chait & Nathan Weisz, 2024. "Eye movements track prioritized auditory features in selective attention to natural speech," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
- Riehl, Kevin & Kiesel, Florian & Schiereck, Dirk, 2022. "Political and Socioeconomic Factors That Determine the Financial Outcome of Successful Green Innovation," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 132099, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
- Xiaowen Dai & Libin Jin & Anqi Shi & Lei Shi, 2016. "Outlier detection and accommodation in general spatial models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 25(3), pages 453-475, August.
- Jukka Sundvall & Benjamin James Dyson, 2022. "Breaking the bonds of reinforcement: Effects of trial outcome, rule consistency and rule complexity against exploitable and unexploitable opponents," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-19, February.
- Lee, Dae-Jin & Durbán, María, 2012. "Seasonal modulation mixed models for time series forecasting," DES - Working Papers. Statistics and Econometrics. WS ws122519, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- repec:jss:jstsof:23:i07 is not listed on IDEAS
- Joel Jorge Nuvunga & Carlos Pereira da Silva & Luciano Antonio de Oliveira & Renato Ribeiro de Lima & Marcio Balestre, 2019. "Bayesian factor analytic model: An approach in multiple environment trials," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-26, August.
- Wei Pan & Xianbin Wang & Wenwei Zhou & Bowen Hang & Liwen Guo, 2023. "Linguistic Analysis for Identifying Depression and Subsequent Suicidal Ideation on Weibo: Machine Learning Approaches," IJERPH, MDPI, vol. 20(3), pages 1-12, February.
- Alexander Robitzsch, 2020. "L p Loss Functions in Invariance Alignment and Haberman Linking with Few or Many Groups," Stats, MDPI, vol. 3(3), pages 1-38, August.
- Sudipto Banerjee & Gregg A. Johnson, 2006. "Coregionalized Single- and Multiresolution Spatially Varying Growth Curve Modeling with Application to Weed Growth," Biometrics, The International Biometric Society, vol. 62(3), pages 864-876, September.
- Ferran Orga & Andrew Mitchell & Marc Freixes & Francesco Aletta & Rosa Ma Alsina-Pagès & Maria Foraster, 2021. "Multilevel Annoyance Modelling of Short Environmental Sound Recordings," Sustainability, MDPI, vol. 13(11), pages 1-13, May.
- Lee, Dae-Jin, 2017. "A general framework for prediction in penalized regression," DES - Working Papers. Statistics and Econometrics. WS 24607, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Boby Mathew & Jens Léon & Mikko J Sillanpää, 2018. "Impact of residual covariance structures on genomic prediction ability in multi-environment trials," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-11, July.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:biomet:v:76:y:2020:i:4:p:1374-1382. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0006-341X .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.