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- 2011928064 alternative "Capturing complexity".
- 2011928064 contributor B12416791.
- 2011928064 created "c2011.".
- 2011928064 date "2011".
- 2011928064 date "c2011.".
- 2011928064 dateCopyrighted "c2011.".
- 2011928064 description "Advanced methods in statistics -- Applied mathematics -- Distribution theory and applications -- Divergence measures and statistical applications -- Modelling in engineering problems -- Theory of games -- Model-based methods for survey sampling -- Probability theory -- Robust and soft methods in statistics -- Modeling in biological and medical problems.".
- 2011928064 description "Includes bibliographical references and index.".
- 2011928064 extent "xiv, 512 p. :".
- 2011928064 identifier "3642208525 (acid-free paper)".
- 2011928064 identifier "9783642208522 (acid-free paper)".
- 2011928064 isPartOf "Understanding complex systems".
- 2011928064 issued "2011".
- 2011928064 issued "c2011.".
- 2011928064 language "eng".
- 2011928064 publisher "Berlin : Springer,".
- 2011928064 subject "Computational complexity.".
- 2011928064 subject "Mathematical models.".
- 2011928064 subject "Mathematical optimization.".
- 2011928064 subject "QA267.7 .M63 2011".
- 2011928064 subject "System analysis Mathematics.".
- 2011928064 tableOfContents "Advanced methods in statistics -- Applied mathematics -- Distribution theory and applications -- Divergence measures and statistical applications -- Modelling in engineering problems -- Theory of games -- Model-based methods for survey sampling -- Probability theory -- Robust and soft methods in statistics -- Modeling in biological and medical problems.".
- 2011928064 title "Capturing complexity".
- 2011928064 title "Modern mathematical tools and techniques in capturing complexity / Leandro Pardo, Narayanaswamy Balakrishnan, and María Angeles Gil (eds.).".
- 2011928064 type "text".