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1. Nonparametric Functional Data Analysis : Theory and Practice
by Frédéric Ferraty, Philippe Vieu
出版情報: New York, NY : Springer Science+Business Media, Inc., 2006
シリーズ名: Springer Series in Statistics ;
オンライン: http://dx.doi.org/10.1007/0-387-36620-2
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2. Statistical Analysis of Environmental Space-Time Processes
by Nhu D. Le, James V. Zidek
出版情報: New York, NY : Springer Science+Business Media, Inc., 2006
シリーズ名: Springer Series in Statistics ;
オンライン: http://dx.doi.org/10.1007/0-387-35429-8
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3. Forest Analytics with R : An Introduction
by Andrew P. Robinson, Jeff D. Hamann
出版情報: New York, NY : Springer Science+Business Media, LLC, 2011
シリーズ名: Use R ;
オンライン: http://dx.doi.org/10.1007/978-1-4419-7762-5
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4. Mathematical Geoscience
by Andrew Fowler
出版情報: London : Springer-Verlag London Limited, 2011
シリーズ名: Interdisciplinary Applied Mathematics ; 36
オンライン: http://dx.doi.org/10.1007/978-0-85729-721-1
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5. Mathematical Modeling, Simulation, Visualization and e-Learning
edited by Dialla Konaté
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2008
オンライン: http://dx.doi.org/10.1007/978-3-540-74339-2
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6. An Intermediate Course in Probability
by Allan Gut
出版情報: New York, NY : Springer-Verlag New York, 2009
シリーズ名: Springer Texts in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-1-4419-0162-0
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7. Modeling Demographic Processes In Marked Populations
edited by G. P. Patil, David L Thomson, Evan G. Cooch, Michael J. Conroy
出版情報: Boston, MA : Springer US, 2009
シリーズ名: Environmental and Ecological Statistics ; 3
オンライン: http://dx.doi.org/10.1007/978-0-387-78151-8
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8.

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8. geoENV VII – Geostatistics for Environmental Applications
edited by P. M. Atkinson, C. D. Lloyd
出版情報: Dordrecht : Springer Science+Business Media B.V., 2010
シリーズ名: Quantitative Geology and Geostatistics ; 16
オンライン: http://dx.doi.org/10.1007/978-90-481-2322-3
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9. Multi-indicator Systems and Modelling in Partial Order
edited by Rainer Brüggemann, Lars Carlsen, Jochen Wittmann
出版情報: New York, NY : Springer New York : Imprint: Springer, 2014
オンライン: http://dx.doi.org/10.1007/978-1-4614-8223-9
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目次情報: 続きを見る
Part A: Theory
Evaluation as a general approach to problem driven mathematical modeling
Multivariate Data Sets for Inference of Order: Some Considerations and Explorations
Measures of Incomparability and of Inequality and their Applications
Measuring structural dissimilarity between finite partial orders
Measuring complexity of partially ordered sets
Part B: Partial Order as Tool to Analyse Composite Indicators
Comparative Knowledge Discovery with Partial Order and Composite Indicator
A software platform Towards a Comparison of Cars - A case study for Handling Ratio-Based Decisions
Part C: New Trends in Partial Order
Coordination of Contrariety and Ambiguity in Comparative Compositional Contexts: Balance of Normalized Definitive Status in Multi-indicator Systems
Partial orders in socio-economics: an applicative challenge for poset theorists or a cultural challenge for social scientists
Part D: Applications
Ranking Hazardous Chemicals with a heuristic Approach to reduce Isolated Objects in Hasse Diagrams
Hasse diagram Technique can further improve the interpretation of results in multi-elemental large-scale biomonitoring studies of atmospheric metal pollution
Application of Partial Orders and Hasse Matrices in Ranking Contaminated sites
Evaluating Ranking Robustness in Multi-indicator uncertain matrices: An application based on Simulation and Global Sensitivity Analysis
Hasse Diagram technique Contributions to Environmental Risk Assessment
Part E: Software Aspects
PARSEC: an R package for poset-based evaluation in socioeconomic sciences
Higher-Order indicator with Rank-Related Clustering in Multi-Indicator Systems
Pyhasse Software Features Applied on the Evaluation of Chemicals in Human Breast Milk Samples in Turkey
Indicator Analyses, What is important - and for what?
PyHasse software for partial order analysis; Scientific background and description of some modules
Index
Part A: Theory
Evaluation as a general approach to problem driven mathematical modeling
Multivariate Data Sets for Inference of Order: Some Considerations and Explorations
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10. Mathematical Models and Methods for Planet Earth
edited by Alessandra Celletti, Ugo Locatelli, Tommaso Ruggeri, Elisabetta Strickland
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2014
シリーズ名: Springer INdAM Series ; 6
オンライン: http://dx.doi.org/10.1007/978-3-319-02657-2
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目次情報: 続きを見る
1 Christiane Rousseau: “Mathematics of Planet Earth”
2 Laure Saint-Raymond: “The role of boundary layers in the large-scale ocean circulation”
3 Paolo Dai Pra: “Noise-induced periodicity: some stochastic models for complex biological systems”
4 Andrea Tosin: “Kinetic equations and stochastic game theory for social systems”
5 Luigi Preziosi: “Using mathematical modelling as a virtual microscope to support biomedical research”
6 Adriano Barra: “Ferromagnetic models for cooperative behavior: Revisiting Universality in complex phenomena”
7 Ettore Perozzi: “The Near Earth Asteroid Hazard and Mitigation”
8 Mirko Degli Esposti: “Mathematical models of textual data: a short review”
9 Anne Lemaitre: “Space debris long term dynamics”
10 Maria Letizia Bertotti: “Mathematical models for socio-economic problems”
11 Antonello Provenzale: “Climate as a complex dynamical system”
12 Giovanni Federico Gronchi: “Periodic orbits of the N -body problem with the symmetry of Platonic polyhedra”
13 Laura Sacerdote: “Superprocesses as models for information dissemination in the Future Internet”
Appendix: Pictures INdAM Workshop
1 Christiane Rousseau: “Mathematics of Planet Earth”
2 Laure Saint-Raymond: “The role of boundary layers in the large-scale ocean circulation”
3 Paolo Dai Pra: “Noise-induced periodicity: some stochastic models for complex biological systems”