Pika, Silvianti and Khairil A., Notodiputro and I Made, Sumertajaya (2009) PENDEKATAN METODE BAYES UNTUK PENDUGAAN PENGARUH INTERAKSI PADA MODEL AMMI. Seminar Nasional Matematika dan Pendidikan Matematika 2009. ISSN 978‐979‐16353‐3‐2
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S.1 Pika Silvianti-Khairil A. Notodiputro-I Made Sumertajaya.pdf Download (204kB) | Preview |
Abstract
Multi-locations trials play an important role in plant breeding and agronomic research. Study concerning genotype-environment interaction needed in selection of genotype to be released. AMMI (Additive Main effect and Multiplicative Interaction) is one of statistical technique to analyze data from multi-locations trials. The analysis of AMMI is a combining analysis between additive main effect and principal component analysis. Multi-location sampling data which were collected several years on several planting season used to be analyzed separately. To obtain more comprehensive information of multi-location sampling data, an analysis which combines all the information in several years is needed. One of the alternatives is the Bayesian approach. This method utilizes initial information on the estimated parameters and information from samples. The simulation states that prediction with Bayesian methods will produce a better estimator, because MSE of the Bayesian estimator is smaller the MSE estimator generated using least squares method. Keywords: AMMI, Bayes
| Item Type: | Article |
|---|---|
| Subjects: | Prosiding > Seminar Nasional Matematika dan Pendidikan Matematika 2009 |
| Divisions: | Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Pendidikan Matematika > Pendidikan Matematika |
| Depositing User: | Sarwo Hadi ꦱꦼꦠꦾꦤ |
| Date Deposited: | 01 Nov 2012 00:33 |
| Last Modified: | 01 Nov 2012 00:33 |
| URI: | http://eprints.uny.ac.id/id/eprint/7053 |
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