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240202 ||| eng |
| 020 |
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|a 9781838814748
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| 020 |
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|a intechopen.70722
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| 020 |
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|a 9781789230925
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| 020 |
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|a 9781789230932
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| 100 |
1 |
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|a Saber Fallah Nezhad, Mohammad
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| 245 |
0 |
0 |
|a New Insights into Bayesian Inference
|h Elektronische Ressource
|
| 260 |
|
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|b IntechOpen
|c 2018
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| 300 |
|
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|a 1 electronic resource (140 p.)
|
| 653 |
|
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|a Applied mathematics / bicssc
|
| 653 |
|
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|a sensitivity analysis, parameter estimation, hepatitis, machine-learning, rna-seq
|
| 700 |
1 |
|
|a Saber Fallah Nezhad, Mohammad
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b DOAB
|a Directory of Open Access Books
|
| 500 |
|
|
|a Creative Commons (cc), https://creativecommons.org/licenses/by/3.0/
|
| 028 |
5 |
0 |
|a 10.5772/intechopen.70722
|
| 856 |
4 |
0 |
|u https://mts.intechopen.com/storage/books/6444/authors_book/authors_book.pdf
|7 0
|x Verlag
|3 Volltext
|
| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/130441
|z DOAB: description of the publication
|
| 082 |
0 |
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|a 500
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| 520 |
|
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|a This book is an introduction to the mathematical analysis of Bayesian decision-making when the state of the problem is unknown but further data about it can be obtained. The objective of such analysis is to determine the optimal decision or solution that is logically consistent with the preferences of the decision-maker, that can be analyzed using numerical utilities or criteria with the probabilities assigned to the possible state of the problem, such that these probabilities are updated by gathering new information.
|