Lumbung Pustaka UNY: No conditions. Results ordered -Date Deposited. 2021-08-01T03:19:19ZEPrintshttps://eprints.uny.ac.id/apw_template/images/sitelogo.pnghttp://eprints.uny.ac.id/2015-02-03T00:41:14Z2019-03-08T06:17:46Zhttp://eprints.uny.ac.id/id/eprint/12052This item is in the repository with the URL: http://eprints.uny.ac.id/id/eprint/120522015-02-03T00:41:14ZAmmi Pada Data Cacahan: Model Log-BilinearAMMI (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 (Additive Main Effect Multiplicative Interaction) model
depends on that assumption of normally independent distributed error with a constant variance. In the study of
genotypes’ resistance, disease and pest (insect) incidence on a plant for example, the appropriateness of AMMI
model is being doubtful. We can handle it by introducing multiplicative terms for interaction in wider class of
modeling, Generalized Linear Models. An algorithm of iterative alternating generalized regression of row and
column estimates its parameters. A log-bilinear model will be applied to the Poisson data distribution. Log-bilinear
models give us good information of the interaction by its log- odd ratio.
Kata kunci: AMMI Models, GEI, GLM, alternating regression, Log-bilinearHadi Alfian Futuhulafhadi@unej.ac.idLestari BudiSa’diyah Halimatus