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dc.contributor.authorHadi, Alfian Futuhul
dc.date.accessioned2013-06-20T02:44:01Z
dc.date.available2013-06-20T02:44:01Z
dc.date.issued2013-06-20
dc.identifier.issn1411 – 5735
dc.identifier.urihttp://repository.unej.ac.id/handle/123456789/259
dc.descriptionTerakreditasi: SK Dirjen Dikti No. 65a/DIKTI/Kep/2008en_US
dc.description.abstractAMMI (Additive Main Effect Multiplicative Interaction) model for interactions in two-way table provide the major mean for studying stability and adaptability through genotype × environment interaction (GEI), which modeled by full interaction model. Eligibility of AMMI model depends on that assumption of normally independent distributed error with a constant variance. Nowadays, AMMI models have been developed for any condition of MET data which violence the normality, homogeneity assumpion. We can mention in this class of modelling as M-AMMI for mixed AMMI models, G-AMMI for generalized AMMI models. The G-AMMI was handling non-normality i.e categorical response variables using an algorithm of alternating regression. While in handling the non-homogeneity in mix-models sense, one may use a model called factor analytic multiplicative. The development of AMMI models is also to handle any outlier that might be found coincides with non-homogeneity condition of the data. In this paper, we will present of handling outlier in multplicative model by robust approach of alternating regression algorithm.en_US
dc.language.isootheren_US
dc.relation.ispartofseriesJurnal Ilmu Dasar;Volume 12 Nomor 2 Juli 2011
dc.subjectAMMI, G-AMMI, M-AMMI, factor analytic, multiplicative models, alternating regression, robust approachen_US
dc.titleHandling Outlier in Two-Ways Table by Robust Alternating Regression of FANOVA Models: Towards Robust AMMI Modelsen_US
dc.typeArticleen_US


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