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1. 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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2. Long-Memory Processes : Probabilistic Properties and Statistical Methods
by Jan Beran, Yuanhua Feng, Sucharita Ghosh, Rafal Kulik
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
オンライン: http://dx.doi.org/10.1007/978-3-642-35512-7
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目次情報: 続きを見る
Definition of Long Memory
Origins and Generation of Long Memory
Mathematical Concepts
Limit Theorems
Statistical Inference for Stationary Processes
Statistical Inference for Nonlinear Processes
Statistical Inference for Nonstationary Processes
Forecasting
Spatial and Space-Time Processes
Resampling
Function Spaces
Regularly Varying Functions
Vague Convergence
Some Useful Integrals
Notation and Abbreviations
Definition of Long Memory
Origins and Generation of Long Memory
Mathematical Concepts
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3. Stochastic Models, Statistics and Their Applications : Wrocław, Poland, February 2015
edited by Ansgar Steland, Ewaryst Rafajłowicz, Krzysztof Szajowski
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 122
オンライン: http://dx.doi.org/10.1007/978-3-319-13881-7
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目次情報:
Preliminary: Part I: Stochastic Models
Part II: Statistics
Part III: Applications
Preliminary: Part I: Stochastic Models
Part II: Statistics
Part III: Applications
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4. 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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