TY  - JOUR
SN  - 978?979?16353?3?2
ID  - UNY7053
PB  - Jurusan Pendidikan Matematika FMIPA UNY
A1  - Pika, Silvianti
A1  - Khairil A., Notodiputro
A1  - I Made, Sumertajaya
N2  - 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
Y1  - 2009///
UR  - http://www.uny.ac.id
TI  - PENDEKATAN METODE BAYES UNTUK PENDUGAAN PENGARUH INTERAKSI PADA MODEL AMMI
AV  - public
JF  - Seminar Nasional Matematika dan Pendidikan Matematika 2009
ER  -