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DC Field | Value | Language |
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dc.contributor.advisor | Notodiputro, Khairil A. | |
dc.contributor.advisor | Mangku, I Wayan | |
dc.contributor.advisor | Sadik, Kusman | |
dc.contributor.author | Rumiati, Agnes Tuti | |
dc.date.accessioned | 2012-12-26T02:47:27Z | |
dc.date.available | 2012-12-26T02:47:27Z | |
dc.date.issued | 2012 | |
dc.identifier.uri | http://repository.ipb.ac.id/handle/123456789/59028 | |
dc.description.abstract | In this research a Bayesian Method of Small Area Estimation (SAE) has been developed based on binomial and multinomial response variables using Susenas data obtained from unequal probability sampling. Case study was carried out to predict education level of the population measured by literacy rate and mean years of schooling in sub-district level in East Java Province. The SAE model for binomial response was developed with two methods, i.e. using weighted logit normal mixed model and involving the probability of sampling selection model as exponential function into the SAE model. A simulation study was carried out by implementing 100 times sampling selection into population data. Penalized Quasi Likelihood (PQL) and Restricted Maximum Likelihood method (REML) was used to parameter estimation of SAE model. Based on the simulation result, we found that the weighted logit normal mixed model gave the best estimate. In application, the weighted logit normal mixed model also provided good prediction of literacy rate in Sumenep and Pasuruan regency.For the multinomial respons, we applied the weighted logit multinomial mixed model. MSE estimation was used Jackknife method and it gave very small MSE of about 1,14 x10-7. | en |
dc.publisher | IPB (Bogor Agricultural University) | |
dc.subject | Bogor Agricultural University (IPB) | en |
dc.subject | SAE model | en |
dc.subject | Bayesian approach | en |
dc.subject | binomial and multinomial response Monte Carlo integration | en |
dc.subject | literacy rate | en |
dc.subject | Susenas | en |
dc.subject | unequal probability sampling | en |
dc.subject | logit normal mixed model | en |
dc.subject | logit multinomial mixed model | en |
dc.title | Bayesian models for small area estimation based on unequal probability sampling of binomial and multinomial responses | en |
dc.title | Model bayes untuk pendugaan area kecil dengan penarikan contoh berpeluang tidak sama pada kasus respon binomial dan multinomial | |
Appears in Collections: | DT - Mathematics and Natural Science |
Files in This Item:
File | Description | Size | Format | |
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2012atr.pdf Restricted Access | Fulltext | 2.2 MB | Adobe PDF | View/Open |
Abstract.pdf Restricted Access | Abstract | 320.95 kB | Adobe PDF | View/Open |
BAB I Pendahuluan.pdf Restricted Access | BAB I | 366.78 kB | Adobe PDF | View/Open |
BAB II Tinjauan Pustaka.pdf Restricted Access | BAB II | 476.16 kB | Adobe PDF | View/Open |
BAB III Model Bayes Untuk Pendugaan ....pdf Restricted Access | BAB III | 522.28 kB | Adobe PDF | View/Open |
BAB IV Model SAE Berbasis Sebaran ....pdf Restricted Access | BAB IV | 639.71 kB | Adobe PDF | View/Open |
BAB V Model Bayes Pendugaan Area ....pdf Restricted Access | BAB V | 1.1 MB | Adobe PDF | View/Open |
BAB VI Pembahasan.pdf Restricted Access | BAB VI | 383.32 kB | Adobe PDF | View/Open |
BAB VII Kesimpulan dan Saran.pdf Restricted Access | BAB VII | 308.62 kB | Adobe PDF | View/Open |
Cover.pdf Restricted Access | Cover | 284.03 kB | Adobe PDF | View/Open |
Daftar Pustaka.pdf Restricted Access | Daftar Pustaka | 338.69 kB | Adobe PDF | View/Open |
Lampiran.pdf Restricted Access | Lampiran | 652.47 kB | Adobe PDF | View/Open |
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