PEMODELAN REGRESI LINEAR PADA ANALISIS FAKTOR DETERMINAN KASUS PNEUMONIA BALITA DENGAN BAYESIAN MODEL AVERAGING (BMA) DI KABUPATEN SITUBONDO TAHUN 2013
Bayesian method is known as a better method than other methods, because it combines the information from the sample data and the information from the previous distribution (prior). Bayesian methods can also be applied to cases involving the model uncertainty in the selection of the best model. Th...
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| Format: | Theses and Dissertations NonPeerReviewed |
| Language: | English Indonesian |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://repository.unair.ac.id/38800/1/gdlhub-gdl-s2-2014-sofiadebbi-33046-5.abstr-t.pdf http://repository.unair.ac.id/38800/2/gdlhub-gdl-s2-2014-sofiadebbi-33046-full%20text.pdf http://repository.unair.ac.id/38800/ http://lib.unair.ac.id |
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| Institution: | Universitas Airlangga |
| Language: | English Indonesian |
| Summary: | Bayesian method is known as a better method than other methods, because
it combines the information from the sample data and the information from the
previous distribution (prior). Bayesian methods can also be applied to cases
involving the model uncertainty in the selection of the best model. There are
several methods in the Bayesian able to choose the best models involving
uncertainty models and one of them is Bayesian Model Averaging (BMA). BMA
is a method that can predict the best model based on the weighted average of all
models. BMA works by averaging the posterior distribution of all the models that
may have formed. BMA goal is to combine model uncertainty in order to get the
best model. The results of the estimation model that includes all possibilities to
form so they can get a better estimation results. The purpose of the study is to
determine the linear regression model of the BMA determinant factor in cases of
pneumonia toddler Situbondo. Design research is applied research. The
experiment was conducted in Situbondo District in May-June 2014. Sampling
units in the study were 17 health centers Situbondo. The results showed a linear
regression model of the BMA produces a significant number of variables greater
than the linear regression model. Significant variable in a linear regression model
of the BMA are not smoking in the home, healthy household, exclusive
breastfeeding, infants received vitamin A, DPT immunization coverage, low birth
weight, malnutrition children, number of posyandu and children under five
services. |
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