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1. Mathematical and Statistical Methods for Actuarial Sciences and Finance
edited by Marco Corazza, Claudio Pizzi
出版情報: Milano : Springer-Verlag Milan, 2010
オンライン: http://dx.doi.org/10.1007/978-88-470-1481-7
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2. A First Course in Statistics for Signal Analysis
by Wojbor A. Woyczynski
出版情報: Boston : Springer Science+Business Media, LLC, 2011
オンライン: http://dx.doi.org/10.1007/978-0-8176-8101-2
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3. Mathematical and Statistical Models and Methods in Reliability : Applications to Medicine, Finance, and Quality Control
edited by V.V. Rykov, N. Balakrishnan, M.S. Nikulin
出版情報: Boston : Springer Science+Business Media, LLC, 2011
シリーズ名: Statistics for Industry and Technology ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-4971-5
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4. Bayesian Theory and Methods with Applications
by Vladimir Savchuk, Chris P. Tsokos
出版情報: Paris : Atlantis Press, 2011
シリーズ名: Atlantis Studies in Probability and Statistics ; 1
オンライン: http://dx.doi.org/10.2991/978-94-91216-14-5
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5. Regression : Linear Models in Statistics
by N. H. Bingham, John M. Fry
出版情報: London : Springer-Verlag London Limited, 2010
シリーズ名: Springer Undergraduate Mathematics Series ;
オンライン: http://dx.doi.org/10.1007/978-1-84882-969-5
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6. Parametric Statistical Change Point Analysis : With Applications to Genetics, Medicine, and Finance. Second Edition
by Jie Chen, Arjun K. Gupta
出版情報: Boston : Birkhäuser Boston, 2012
オンライン: http://dx.doi.org/10.1007/978-0-8176-4801-5
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7. Probability with Statistical Applications
by Rinaldo B. Schinazi
出版情報: Boston : Springer Science+Business Media, LLC, 2012
オンライン: http://dx.doi.org/10.1007/978-0-8176-8250-7
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8. 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
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9. Marshall ̶ Olkin Distributions - Advances in Theory and Applications : Bologna, Italy, October 2013
edited by Umberto Cherubini, Fabrizio Durante, Sabrina Mulinacci
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 141
オンライン: http://dx.doi.org/10.1007/978-3-319-19039-6
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目次情報: 続きを見る
A Survey of Dynamic Representations and Generalizations of the Marshall–Olkin Distribution German Bernhart, Lexuri Fernández, Jan-Frederik Mai, Steffen Schenk , and Matthias Scherer
Copulas Based on Marshall–Olkin Machinery by Fabrizio Durante and Stéphane Girard, and Gildas Mazo
The mean of Marshall–Olkin dependent exponential random  by Lexuri Fernández and Jan-Frederik Mai and Matthias Scherer
General Marshall-Olkin Models, Dependence Orders and Comparisons of Environmental Processes by Esther Frostig and Franco Pellerey
Marshall-Olkin Machinery and Power Mixing: the Mixed Generalized Marshall-Olkin Distribution by Sabrina Mulinacci
Extended Marshall-Olkin Model and Its Dual Version by Jayme Pinto and Nikolai Kolev
A Survey of Dynamic Representations and Generalizations of the Marshall–Olkin Distribution German Bernhart, Lexuri Fernández, Jan-Frederik Mai, Steffen Schenk , and Matthias Scherer
Copulas Based on Marshall–Olkin Machinery by Fabrizio Durante and Stéphane Girard, and Gildas Mazo
The mean of Marshall–Olkin dependent exponential random  by Lexuri Fernández and Jan-Frederik Mai and Matthias Scherer
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10. Advances in Data Analysis : Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks
edited by Christos H. Skiadas
出版情報: Boston : Birkhäuser Boston, 2010
シリーズ名: Statistics for Industry and Technology ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-4799-5
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