Ditemukan 10 dokumen yang sesuai dengan query
New York: Academic Press, 1982
519.54 STA
Buku Teks SO Universitas Indonesia Library
Pratt, John W.
Cambridge, UK: Massachusetts Institute of Technology, 1995
519.542 PRA i
Buku Teks SO Universitas Indonesia Library
Orlvoski, Sergei A.
New York: Allerton Press, 1994
511.32 ORL c
Buku Teks Universitas Indonesia Library
Lindley, D.V.
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A study of those statistical ideas that use a probability distribution over parameter space. The first part describes the axiomatic basis in the concept of coherence and the implications of this for sampling theory statistics. The second part discusses the use of Bayesian ideas in many branches of statistics ...
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Philadelphia: Society for Industrial and Applied Mathematics, 1995
e20451236
eBooks Universitas Indonesia Library
Koller, Daphne
Cambridge, UK: MIT Press, 2009
519.542 KOL p
Buku Teks SO Universitas Indonesia Library
Harnett, Donald L.
New York: John Wiley & Sons, 1998
658.403 3 HAR d
Buku Teks Universitas Indonesia Library
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Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision-making that it should be accepted as an inherent feature of real decision makers living within interacting societies.
To date such societies have been investigated from an economic and gametheoretic perspective, and even to a ...
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Berlin: [Springer, ], 2012
e20398180
eBooks Universitas Indonesia Library
Gupta, Shanti S.
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Multiple Decision Procedures: Theory and Methodology of Selecting and Ranking Populations provides an encyclopedic coverage of the literature in the area of ranking and selection procedures, summarizing and surveying in a unified manner a majority of more than 600 main references in the bibliography. It also deals with related problems, such as the estimation of unknown ordered parameters. A separate chapter is devoted to information about several tables available in the literature for carrying out ...
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Philadelphia: Society for Industrial and Applied Mathematics, 2002
e20450615
eBooks Universitas Indonesia Library
Lee, Herbert K.H.
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Bayesian Nonparametrics via Neural Networks is the first book to focus on neural networks in the context of nonparametric regression and classification, working within the Bayesian paradigm. Its goal is to demystify neural networks, putting them firmly in a statistical context rather than treating them as a black box. This approach is in contrast to existing books, which tend to treat neural networks as a machine learning algorithm instead of a statistical model. Once this ...
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Philadelphia: Society for Industrial and Applied Mathematics, 2004
e20448023
eBooks Universitas Indonesia Library
Irvina Kamalitha Zunaidi
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ABSTRAK
Data bawah permukaan merupakan data yang sangat dibutuhkan dalam menentukan besar cadangan hidrokarbon di Indonesia. Selain itu, kualitas dari cadangan itu sendiri menentukan perkembangan industri migas kedepannya. Pemerintah telah secara agresif mendorong penggunaan gas alam dan saat ini pemerintah belum memiliki data mengenai cadangan gas secara efisien. Oleh karena itu, diperlukan penyusunan dalam manajemen data reservoir, khususnya reservoir gas. Penelitian ini menyajikan konsep sehingga pemerintah dapat dengan mudah melihat kualitas cadangan gas yang berasal dari ...
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2019
T54521
UI - Tesis Membership Universitas Indonesia Library
