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01000naa a22002652 4500 |
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20231223115705.0 |
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231223s2007 xx ||||| 00| ||eng c |
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|a DE-627
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|c DE-627
|e rakwb
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| 041 |
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|a eng
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| 100 |
1 |
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|a Lorenz, Sönke
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Discrimination of dynamical system models for biological and chemical processes
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| 264 |
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1 |
|c 2007
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| 336 |
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|a Text
|b txt
|2 rdacontent
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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| 338 |
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|a Band
|b nc
|2 rdacarrier
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| 500 |
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|a Date Completed 01.06.2007
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|a Date Revised 17.04.2007
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|a published: Print
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|a Citation Status MEDLINE
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| 520 |
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|a In technical chemistry, systems biology and biotechnology, the construction of predictive models has become an essential step in process design and product optimization. Accurate modelling of the reactions requires detailed knowledge about the processes involved. However, when concerned with the development of new products and production techniques for example, this knowledge often is not available due to the lack of experimental data. Thus, when one has to work with a selection of proposed models, the main tasks of early development is to discriminate these models. In this article, a new statistical approach to model discrimination is described that ranks models wrt. the probability with which they reproduce the given data. The article introduces the new approach, discusses its statistical background, presents numerical techniques for its implementation and illustrates the application to examples from biokinetics
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| 650 |
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|a Journal Article
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| 650 |
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|a Research Support, Non-U.S. Gov't
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| 700 |
1 |
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|a Diederichs, Elmar
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Telgmann, Regina
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Schütte, Christof
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t Journal of computational chemistry
|d 1984
|g 28(2007), 8 vom: 15. Juni, Seite 1384-99
|w (DE-627)NLM098138448
|x 1096-987X
|7 nnns
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| 773 |
1 |
8 |
|g volume:28
|g year:2007
|g number:8
|g day:15
|g month:06
|g pages:1384-99
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|d 28
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|e 8
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|h 1384-99
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