STATISTIKA NONPARAMETRIK: PENGGABUNGAN DIAGRAM POHON POLYA YANG BERHINGGA (NONPARAMETRIC STATISTICS: A MIXTURES OF FINITE POLYA TREES )
This thesis be explained an approach in nonparametric Bayesian, a mixture of Polya tree (MPT). MPT uses a partition of supports from a density of its original distribution. In general, the density keeps the original form of the distribution in every mixture of partition as well as adds a new paramet...
محفوظ في:
| المؤلفون الرئيسيون: | , |
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| التنسيق: | Theses and Dissertations NonPeerReviewed |
| منشور في: |
[Yogyakarta] : Universitas Gadjah Mada
2012
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://repository.ugm.ac.id/97819/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=54552 |
| الوسوم: |
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id-ugm-repo.978192016-03-04T08:45:45Z https://repository.ugm.ac.id/97819/ STATISTIKA NONPARAMETRIK: PENGGABUNGAN DIAGRAM POHON POLYA YANG BERHINGGA (NONPARAMETRIC STATISTICS: A MIXTURES OF FINITE POLYA TREES ) , Asri Ode Samura , Prof. Dr. Sri Haryatmi, M.Sc ETD This thesis be explained an approach in nonparametric Bayesian, a mixture of Polya tree (MPT). MPT uses a partition of supports from a density of its original distribution. In general, the density keeps the original form of the distribution in every mixture of partition as well as adds a new parameter obtained from conditional probabilities. A model of Polya tree can be applied widely and also can be programmed easily by giving MCMC scheme to fit the original parametric model. [Yogyakarta] : Universitas Gadjah Mada 2012 Thesis NonPeerReviewed , Asri Ode Samura and , Prof. Dr. Sri Haryatmi, M.Sc (2012) STATISTIKA NONPARAMETRIK: PENGGABUNGAN DIAGRAM POHON POLYA YANG BERHINGGA (NONPARAMETRIC STATISTICS: A MIXTURES OF FINITE POLYA TREES ). UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=54552 |
| institution |
Universitas Gadjah Mada |
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UGM Library |
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Indonesia |
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Repository Civitas UGM |
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ETD |
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ETD , Asri Ode Samura , Prof. Dr. Sri Haryatmi, M.Sc STATISTIKA NONPARAMETRIK: PENGGABUNGAN DIAGRAM POHON POLYA YANG BERHINGGA (NONPARAMETRIC STATISTICS: A MIXTURES OF FINITE POLYA TREES ) |
| description |
This thesis be explained an approach in nonparametric Bayesian, a mixture
of Polya tree (MPT). MPT uses a partition of supports from a density of its
original distribution. In general, the density keeps the original form of the
distribution in every mixture of partition as well as adds a new parameter obtained
from conditional probabilities. A model of Polya tree can be applied widely and
also can be programmed easily by giving MCMC scheme to fit the original
parametric model. |
| format |
Theses and Dissertations NonPeerReviewed |
| author |
, Asri Ode Samura , Prof. Dr. Sri Haryatmi, M.Sc |
| author_facet |
, Asri Ode Samura , Prof. Dr. Sri Haryatmi, M.Sc |
| author_sort |
, Asri Ode Samura |
| title |
STATISTIKA NONPARAMETRIK: PENGGABUNGAN DIAGRAM POHON POLYA YANG BERHINGGA
(NONPARAMETRIC STATISTICS: A MIXTURES OF FINITE POLYA TREES ) |
| title_short |
STATISTIKA NONPARAMETRIK: PENGGABUNGAN DIAGRAM POHON POLYA YANG BERHINGGA
(NONPARAMETRIC STATISTICS: A MIXTURES OF FINITE POLYA TREES ) |
| title_full |
STATISTIKA NONPARAMETRIK: PENGGABUNGAN DIAGRAM POHON POLYA YANG BERHINGGA
(NONPARAMETRIC STATISTICS: A MIXTURES OF FINITE POLYA TREES ) |
| title_fullStr |
STATISTIKA NONPARAMETRIK: PENGGABUNGAN DIAGRAM POHON POLYA YANG BERHINGGA
(NONPARAMETRIC STATISTICS: A MIXTURES OF FINITE POLYA TREES ) |
| title_full_unstemmed |
STATISTIKA NONPARAMETRIK: PENGGABUNGAN DIAGRAM POHON POLYA YANG BERHINGGA
(NONPARAMETRIC STATISTICS: A MIXTURES OF FINITE POLYA TREES ) |
| title_sort |
statistika nonparametrik: penggabungan diagram pohon polya yang berhingga
(nonparametric statistics: a mixtures of finite polya trees ) |
| publisher |
[Yogyakarta] : Universitas Gadjah Mada |
| publishDate |
2012 |
| url |
https://repository.ugm.ac.id/97819/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=54552 |
| _version_ |
1681230242429009920 |