A statistical model which combines features of factor analytic and analysis of variance techniques
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DOI: 10.1007/BF02289676
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- Jan Schepers & Hans-Hermann Bock & Iven Mechelen, 2017. "Maximal Interaction Two-Mode Clustering," Journal of Classification, Springer;The Classification Society, vol. 34(1), pages 49-75, April.
- repec:jss:jstsof:34:i10 is not listed on IDEAS
- Kamila Nowosad & Jan Bocianowski & Farzad Kianersi & Alireza Pour-Aboughadareh, 2023. "Analysis of Linkage on Interaction of Main Aspects (Genotype by Environment Interaction, Stability and Genetic Parameters) of 1000 Kernels in Maize ( Zea mays L.)," Agriculture, MDPI, vol. 13(10), pages 1-17, October.
- Choulakian, Vartan, 2005. "Transposition invariant principal component analysis in L1 for long tailed data," Statistics & Probability Letters, Elsevier, vol. 71(1), pages 23-31, January.
- John C. Gower & Sugnet Gardner-Lubbe & Niel J. Le Roux, 2018. "Interaction: Fisher’s Optimal Scores Revisited," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 23(1), pages 92-112, March.
- Yoshio Takane & Tadashi Shibayama, 1991. "Principal component analysis with external information on both subjects and variables," Psychometrika, Springer;The Psychometric Society, vol. 56(1), pages 97-120, March.
- Ahakpaz, Farhad & Abdi, Hossein & Neyestani, Elyas & Hesami, Ali & Mohammadi, Behrouz & Mahmoudi, Kourosh Nader & Abedi-Asl, Gholamreza & Noshabadi, Mohammad Reza Jazayeri & Ahakpaz, Farzad & Alipour,, 2021. "Genotype-by-environment interaction analysis for grain yield of barley genotypes under dryland conditions and the role of monthly rainfall," Agricultural Water Management, Elsevier, vol. 245(C).
- Groenen, P.J.F. & Koning, A.J., 2004. "A new model for visualizing interactions in analysis of variance," Econometric Institute Research Papers EI 2004-06, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Odette D. Weedon & Maria R. Finckh, 2019. "Heterogeneous Winter Wheat Populations Differ in Yield Stability Depending on their Genetic Background and Management System," Sustainability, MDPI, vol. 11(21), pages 1-20, November.
- Johannes Forkman & Hans-Peter Piepho, 2014. "Parametric bootstrap methods for testing multiplicative terms in GGE and AMMI models," Biometrics, The International Biometric Society, vol. 70(3), pages 639-647, September.
- Franck, Christopher T. & Nielsen, Dahlia M. & Osborne, Jason A., 2013. "A method for detecting hidden additivity in two-factor unreplicated experiments," Computational Statistics & Data Analysis, Elsevier, vol. 67(C), pages 95-104.
- Erik Schwarzbach & Jiří Hartmann & Hans-Peter Piepho, 2007. "Multiplicative main cultivar effects in Czech official winter wheat trials 1976-2005," Czech Journal of Genetics and Plant Breeding, Czech Academy of Agricultural Sciences, vol. 43(4), pages 117-124.
- Mark Appelbaum, 1986. "Statistics, data analysis and Psychometrika: Major developments," Psychometrika, Springer;The Psychometric Society, vol. 51(1), pages 53-56, March.
- Brian Gin & Nicholas Sim & Anders Skrondal & Sophia Rabe-Hesketh, 2020. "A Dyadic IRT Model," Psychometrika, Springer;The Psychometric Society, vol. 85(3), pages 815-836, September.
- Griffin, Maryclare & Hoff, Peter D., 2019. "Lasso ANOVA decompositions for matrix and tensor data," Computational Statistics & Data Analysis, Elsevier, vol. 137(C), pages 181-194.
- S. Hadasch & J. Forkman & W. A. Malik & H. P. Piepho, 2018. "Weighted Estimation of AMMI and GGE Models," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 23(2), pages 255-275, June.
- Gordon Bechtel, 1973. "Nonlinear submodels of orthogonal linear models," Psychometrika, Springer;The Psychometric Society, vol. 38(3), pages 379-392, September.
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