Ammi Pada Data Cacahan: Model Log-Bilinear

Alfian Futuhul, Hadi and Budi, Lestari and Halimatus, Sa’diyah (2007) Ammi Pada Data Cacahan: Model Log-Bilinear. Seminar Nasional Penelitian, Pendidikan dan Penerapan MIPA 2007. ISSN 978-979-99314-2-9

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Abstract

AMMI (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-bilinear

Item Type: Article
Uncontrolled Keywords: AMMI Models, GEI, GLM, alternating regression, Log-bilinear
Subjects: Prosiding > Seminar Nasional Penelitian, Pendidikan dan Penerapan MIPA 2007
Divisions: Fakultas Matematika dan Ilmu Pengetahuan Alam > Jurusan Pendidikan Matematika
Depositing User: Eprints
Date Deposited: 03 Feb 2015 00:41
Last Modified: 03 Feb 2015 00:41
URI: http://eprints.uny.ac.id/id/eprint/12052

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