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02345nam a22004215i 4500 |
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140109s2013 gw | s |||| 0|eng d |
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|a 9783642452871
|9 978-3-642-45287-1
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|a 10.1007/978-3-642-45287-1
|2 doi
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|a QA276-280
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|a MAT029000
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|a 519.5
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|a Kitsos, Christos P.
|e author.
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|a Optimal Experimental Design for Non-Linear Models
|h [electronic resource] :
|b Theory and Applications /
|c by Christos P. Kitsos.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2013.
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300 |
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|a IX, 102 p. 8 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a SpringerBriefs in Statistics,
|x 2191-544X
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|a 1.Introduction -- 2. Motivation -- 3.Locally Optimal Designs -- 4.Static Design -- 5.Sequential Designs -- 6.Approximate Confidence Regions -- 7.Working with Data: Simulation Studies -- 8.A Case Study: Optimal Designs in Rythmometry -- 9.Discussion -- References -- A1.Caratheodory’s Theorem -- A2.Silvapulle's Theorem -- A3.Conditional Inverse -- A4.Simulation I Results, Tables 7.1 – 7.5 -- A5.Simulation II Results, Tables 7.7 – 7.14.
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|a This book tackles the Optimal Non-Linear Experimental Design problem from an applications perspective. At the same time it offers extensive mathematical background material that avoids technicalities, making it accessible to non-mathematicians: Biologists, Medical Statisticians, Sociologists, Engineers, Chemists and Physicists will find new approaches to conducting their experiments. The book is recommended for Graduate Students and Researchers.
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650 |
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|a Statistics.
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650 |
1 |
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|a Statistics.
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650 |
2 |
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|a Statistics, general.
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710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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776 |
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8 |
|i Printed edition:
|z 9783642452864
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830 |
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|a SpringerBriefs in Statistics,
|x 2191-544X
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856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-642-45287-1
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-SMA
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950 |
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|a Mathematics and Statistics (Springer-11649)
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