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Christensen, Ronald: Advanced linear modeling : statistical learning and dependent data / Ronald Christensen. - Third edition. - Cham, Switzerland: Springer, [2019]. - xxiii, 608 Seiten : Diagramme, ISBN 978-3-030-29163-1 (Springer texts in statistics) DOI: 10.1007/978-3-030-29164-8
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Signatur: UBN/SK 840 C554(3)
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James, Gareth: An introduction to statistical learning : with applications in R / Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani. - Second edition. - New York, NY: Springer, 2021. - 1 Online-Ressource (xv, 607 Seiten) : Illustrationen, Diagramme, ISBN 978-1-0716-1418-1 (Springer texts in statistics) (Springer eBook Collection) DOI: 10.1007/978-1-0716-1418-1
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James, Gareth: An introduction to statistical learning : with applications in R / Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani. - Corrected at 8th printing. - New York ; Heidelberg ; Dordrecht ; London: Springer, [2017]. - xiv, 426 Seiten : Diagramme, ISBN 978-1-4614-7137-0 (Springer texts in statistics) DOI: 10.1007/978-1-4614-7138-7
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Signatur: LN-U 8-17228::(N,8)
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James, Gareth: An introduction to statistical learning : with applications in R / Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirami. - New York, NY: Springer, 2013. - XIV, 426 Seiten : graph. Darst., ISBN 978-1-4614-7137-0 (Springer texts in statistics ; 103)
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Signatur: LN-U 8-17228
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Dunn, Peter K.: Generalized linear models with examples in R / Peter K. Dunn, Gordon K. Smyth. - New York: Springer, [2018]. - 1 Online-Ressource (xx, 562 Seiten) : Illustrationen, Diagramme, ISBN 978-1-4419-0118-7 (Springer Texts in Statistics) (Springer eBook Collection) DOI: 10.1007/978-1-4419-0118-7
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Applied linear algebra, probability and statistics : a volume in honour of C. R. Rao and Arbind K. Lal / Ravindra B. Bapat, Manjunatha Prasad Karantha, Stephen J. Kirkland, Samir Kumar Neogy, Sukanta Pati,… . - Singapore: Springer, 2023. - 1 Online-Ressource (XXVII, 525 Seiten), ISBN 978-981-9923-10-6 (Indian statistical institute series) DOI: 10.1007/978-981-99-2310-6
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Wegner, Sven-Ake: Mathematische Einführung in Data Science / von Sven-Ake Wegner. - 1st ed. 2023.. - Berlin, Heidelberg: Springer Berlin Heidelberg, 2023.. - 1 Online-Ressource(IX, 303 S. 118 Abb.), ISBN 978-3-662-68697-3 DOI: 10.1007/978-3-662-68697-3
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Murty, M.N.: Support Vector Machines and Perceptrons : Learning, Optimization, Classification, and Application to Social Networks / by M.N. Murty, Rashmi Raghava. - Cham: Springer, 2016. - Online-Ressource (XIII, 95 p. 25 illus, online resource), ISBN 978-3-319-41063-0 (SpringerLink : Bücher) (SpringerBriefs in Computer Science) (Springer eBook Collection : Computer Science) DOI: 10.1007/978-3-319-41063-0
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Paolella, Marc S.: Linear models and time-series analysis : regression, ANOVA, ARMA and GARCH / Marc S. Paolella (Department of Banking and Finance, University of Zurich, Switzerland). - Hoboken, NJ ; Chichester, West Sussex: Wiley, 2019. - xvi, 880 Seiten : Illustrationen, Diagramme, ISBN 978-1-119-43190-9 (Wiley series in probability and statistics)
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Signatur: UBN/ST 301 P211
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Brinda, W. D.: Visualizing Linear Models / W. D. Brinda. - Cham: Springer, [2021]. - 1 Online-Ressource (XVI, 167 Seiten) : Illustrationen, Diagramme, ISBN 978-3-030-64167-2 (Springer eBook Collection) DOI: 10.1007/978-3-030-64167-2
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Aggarwal, Charu C.: Neural Networks and Deep Learning : A Textbook / by Charu C. Aggarwal. - 2nd ed. 2023.. - Cham: Springer International Publishing, 2023.. - 1 Online-Ressource(XXIV, 529 p. 150 illus., 22 illus. in color.), ISBN 978-3-031-29642-0 DOI: 10.1007/978-3-031-29642-0
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Blaschzyk, Ingrid Karin: Improved classification rates for localized algorithms under margin conditions / Ingrid Karin Blaschzyk. - Wiesbaden ; [Heidelberg]: Springer Spektrum, [2020]. - 1 Online-Ressource (XV, 126 Seiten) : Illustrationen, ISBN 978-3-658-29591-2 (Springer eBook Collection) (Research) DOI: 10.1007/978-3-658-29591-2
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The shape of data in the digital humanities : modeling texts and text-based resources / edited by Julia Flanders and Fotis Jannidis. - London ; New York: Routledge, Taylor & Francis Group, 2019. - xviii, 341 Seiten : Diagramme, Illustrationen, Karten, ISBN 978-1-4724-4324-3 (Digital research in the arts and humanities)
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Steinmann, Paul: The Catalogue of Computational Material Models : Basic Geometrically Linear Models in 1D / Paul Steinmann, Kenneth Runesson. - Cham: Springer, [2021]. - 1 Online-Ressource (XII, 402 Seiten) : Illustrationen, Diagramme, ISBN 978-3-030-63684-5 (Springer eBook Collection) DOI: 10.1007/978-3-030-63684-5
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Christensen, Ronald: Advanced linear modeling : multivariate, time series, and spatial data; nonparametric regression and response surface maximization / Ronald Christensen. - 2. ed.. - New York ; Berlin ; Heidelberg [u.a.]: Springer, 2001. - XIII, 398 S. : graph. Darst., ISBN 978-0-387-95296-3 (Springer texts in statistics)
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Osborne, Jason W.: Regression & linear modeling : best practices and modern methods / Jason W. Osborne (Clemson University). - Los Angeles ; London ; New Delhi ; Singapore ; Washington DC ; Melbourne: SAGE, [2017]. - xxv, 457 Seiten : Diagramme, ISBN 978-1-5063-0276-8
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Signatur: UBN/QH 234 O81
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Sanchez, Juana: Time series for data scientists : data management, description, modeling and forecasting / Juana Sanchez (University of California, Los Angeles). - Cambridge ; New York ; Port Melbourne ; New Delhi ; Singapore: Cambridge University Press, 2023. - xii, 463 Seiten : Illustrationen, Diagramme, ISBN 978-1-108-83777-4
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Signatur: UBN/SK 845 S211
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Reddy, T. Agami: Applied Data Analysis and Modeling for Energy Engineers and Scientists / by T. Agami Reddy, Gregor P. Henze. - 2nd ed. 2023.. - Cham: Springer International Publishing, 2023.. - 1 Online-Ressource(XXI, 609 p. 400 illus., 194 illus. in color.), ISBN 978-3-031-34869-3 DOI: 10.1007/978-3-031-34869-3
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Izenman, Alan Julian: Modern multivariate statistical techniques : regression, classification, and manifold learning / Alan Julian Izenman. - New York, NY: Springer, 2008. - XXV, 731 S. : Ill., graph. Darst., ISBN 978-0-387-78188-4 (Springer texts in statistics)
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Inhaltsverzeichnis: 1, 2
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West, Brady T.: Linear mixed models : a practical guide using statistical software / Brady T. West, Kathleen B. Welch, Andrzej T. Galecki ; with contributions from Brenda W. Gillespie. - Third edition. - Boca Raton: CRC Press, Taylor & Francis Group, 2022. - xxxviii, 461 Seiten : Diagramme, Illustrationen, ISBN 978-1-032-01932-1 (A Chapmann & Hall book)
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Signatur: UBN/ST 600 W516(3)
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