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電子ブック
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1. International Encyclopedia of Statistical Science
edited by Miodrag Lovric
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2011
オンライン: http://dx.doi.org/10.1007/978-3-642-04898-2
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電子ブック
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2. Statistics for Non-Statisticians
by Birger Madsen
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2011
オンライン: http://dx.doi.org/10.1007/978-3-642-17656-2
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3. Séries temporelles avec R : Méthodes et cas
by Yves Aragon
出版情報: Paris : Springer Paris, 2011
シリーズ名: Pratique R ; 0
オンライン: http://dx.doi.org/10.1007/978-2-8178-0208-4
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4. Analyse statistique des risques agro-environnementaux : Études de cas
by David Makowski, Hervé Monod
出版情報: Paris : Springer Paris, 2011
シリーズ名: Collection Statistique et probabilités appliquées ;
オンライン: http://dx.doi.org/10.1007/978-2-8178-0251-0
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電子ブック
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5. Graphical Models with R
by Søren Højsgaard, David Edwards, Steffen Lauritzen
出版情報: Boston, MA : Springer US, 2012
シリーズ名: Use R! ;
オンライン: http://dx.doi.org/10.1007/978-1-4614-2299-0
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電子ブック
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6. Inference for Functional Data with Applications
by Lajos Horváth, Piotr Kokoszka
出版情報: New York, NY : Springer New York, 2012
シリーズ名: Springer Series in Statistics ; 200
オンライン: http://dx.doi.org/10.1007/978-1-4614-3655-3
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7. Modern Mathematical Statistics with Applications. 2
by Jay L. Devore, Kenneth N. Berk
出版情報: New York, NY : Springer Science+Business Media, LLC, 2012
シリーズ名: Springer Texts in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-1-4614-0391-3
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8. Two-Way Analysis of Variance : Statistical Tests and Graphics Using R
by Thomas W. MacFarland
出版情報: New York, NY : Thomas W. MacFarland, 2012
シリーズ名: SpringerBriefs in Statistics ; 1
オンライン: http://dx.doi.org/10.1007/978-1-4614-2134-4
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9. Astrostatistics and Data Mining
edited by Luis Manuel Sarro, Laurent Eyer, William O'Mullane, Joris De Ridder
出版情報: New York, NY : Springer New York : Imprint: Springer, 2012
シリーズ名: Springer Series in Astrostatistics ; 2
オンライン: http://dx.doi.org/10.1007/978-1-4614-3323-1
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目次情報: 続きを見る
??? 'Science with Gaia: how will we deal with a complex billion-source  catalogue and data archive?' by Anthony Brown (Leiden University,Netherlads)
'Recent Advances in cosmological Bayesian model comparison' by  Roberto Trotta (University College London, UK)
'The Art of Data Science' by  Matthew Graham (Center for Advanced  Computing Research, California Institute  of Technology, USA)
'Astronomical Surveys: from SDSS to LSST' by Robert Lupton  (Princeton University, USA)
'Exoplanet demography, quasar target selection, and probabilistic  redshift estimation:  Hierarchical models for density estimation,  classification, and regression.' by David Hogg (New York University,  USA)
'Learning to disentangle Exoplanet signals from correlated noise'  by Suzanne Aigrain (Oxford University, UK)
Astroinformatics and data mining: how to cope with the data  tsunami' by Giuseppe Longo (Federico II University, Italy)
Advanced statistical techniques for the processing of astronomical data: time series, images, low number statistics for high energy photons, heteroskedastic data, non-detections
Challenges in the data mining of astronomical databases: the class imbalance in training sets or how to define prior robust preprocessing for supervised/unsupervised classification robust inference with heterogeneous datasets, how to combine observations, models, priors, etc in a training/test set error propagation
The challenge of petabyte size databases: scalability, parallel computing, accuracy
Geometric data organization, sky indexing for efficient data retrieval, intelligent access to petabyte size databases
Knowledge Discovery in astronomical archives: outlier detection, new object types, parametric inference, model fitting and model selection, etc
Combining the classical domain knowledge approach with machine learning techniques
Global approaches for global datasets. The Galaxy zoo and the Universe zoo
The Virtual Observatories, Data Mining and Astrostatistics: software, standards, protocols
??? 'Science with Gaia: how will we deal with a complex billion-source  catalogue and data archive?' by Anthony Brown (Leiden University,Netherlads)
'Recent Advances in cosmological Bayesian model comparison' by  Roberto Trotta (University College London, UK)
'The Art of Data Science' by  Matthew Graham (Center for Advanced  Computing Research, California Institute  of Technology, USA)
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10. Markov Bases in Algebraic Statistics
by Satoshi Aoki, Hisayuki Hara, Akimichi Takemura
出版情報: New York, NY : Springer New York : Imprint: Springer, 2012
シリーズ名: Springer Series in Statistics ; 199
オンライン: http://dx.doi.org/10.1007/978-1-4614-3719-2
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目次情報: 続きを見る
Exact tests for contingency tables and discrete exponential families
Markov chain Monte Carlo methods over discrete sample space
Toric ideals and their Gröbner bases
Definition of Markov bases and other bases
Structure of minimal Markov bases
Method of distance reduction
Symmetry of Markov bases
Decomposable models of contingency tables
Markov basis for no-three-factor interaction models and some other hierarchical models
Two-way tables with structural zeros and fixed subtable sums
Regular factorial designs with discrete response variables
Group-wise selection models
The set of moves connecting specific fibers
Disclosure limitation problem and Markov basis
Gröbner basis techniques for design of experiments
Running Markov chain without Markov bases
References
Index
Exact tests for contingency tables and discrete exponential families
Markov chain Monte Carlo methods over discrete sample space
Toric ideals and their Gröbner bases