Verfügbarkeit: Regression | Technische Universität München

Regression: models, methods and applications

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Bibliographische Detailangaben
Beteiligte Personen:	Fahrmeir, Ludwig 1945- (VerfasserIn), Kneib, Thomas 1976- (VerfasserIn), Lang, Stefan 1970- (VerfasserIn), Marx, Brian D. 1960- (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Berlin, Germany Springer [2021]
Ausgabe:	Second edition
Schlagwörter:	Linear Models and Regression Applied Statistics Data Analysis and Big Data Non-parametric Inference Parametric Inference Statistical Theory and Methods Regression analysis Statistics Quantitative research Nonparametric statistics Mathematical statistics
Links:	https://doi.org/10.1007/978-3-662-63882-8 https://doi.org/10.1007/978-3-662-63882-8 https://doi.org/10.1007/978-3-662-63882-8 https://doi.org/10.1007/978-3-662-63882-8 https://doi.org/10.1007/978-3-662-63882-8 https://doi.org/10.1007/978-3-662-63882-8 https://doi.org/10.1007/978-3-662-63882-8 https://doi.org/10.1007/978-3-662-63882-8 https://doi.org/10.1007/978-3-662-63882-8 https://doi.org/10.1007/978-3-662-63882-8 https://doi.org/10.1007/978-3-662-63882-8 https://ebookcentral.proquest.com/lib/ub-bamberg/detail.action?docID=6926819 https://doi.org/10.1007/978-3-662-63882-8 https://ebookcentral.proquest.com/lib/uniregensburg-ebooks/detail.action?docID=6926819 https://doi.org/10.1007/978-3-662-63882-8 https://doi.org/10.1007/978-3-662-63882-8 https://doi.org/10.1007/978-3-662-63882-8 https://doi.org/10.1007/978-3-662-63882-8 https://doi.org/10.1007/978-3-662-63882-8 https://doi.org/10.1007/978-3-662-63882-8
Umfang:	1 Online-Ressource (XX, 744 Seiten) Illustrationen
ISBN:	9783662638828
DOI:	10.1007/978-3-662-63882-8

Internformat

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owner_facet	DE-384 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-1043 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-824 DE-703 DE-706 DE-739 DE-634 DE-355 DE-BY-UBR DE-473 DE-BY-UBG
physical	1 Online-Ressource (XX, 744 Seiten) Illustrationen
psigel	ZDB-2-SMA ZDB-30-PQE ZDB-2-SMA_2021 ZDB-30-PQE UBG_Einzelkauf ZDB-30-PQE UBR Einzelkauf 2022
publishDate	2021
publishDateSearch	2021
publishDateSort	2021
publisher	Springer
record_format	marc
spellingShingle	Fahrmeir, Ludwig 1945- Kneib, Thomas 1976- Lang, Stefan 1970- Marx, Brian D. 1960- Regression models, methods and applications Linear Models and Regression Applied Statistics Data Analysis and Big Data Non-parametric Inference Parametric Inference Statistical Theory and Methods Regression analysis Statistics Quantitative research Nonparametric statistics Mathematical statistics
title	Regression models, methods and applications
title_auth	Regression models, methods and applications
title_exact_search	Regression models, methods and applications
title_full	Regression models, methods and applications Ludwig Fahrmeir, Thomas Kneib, Stefan Lang, Brian D. Marx
title_fullStr	Regression models, methods and applications Ludwig Fahrmeir, Thomas Kneib, Stefan Lang, Brian D. Marx
title_full_unstemmed	Regression models, methods and applications Ludwig Fahrmeir, Thomas Kneib, Stefan Lang, Brian D. Marx
title_short	Regression
title_sort	regression models methods and applications
title_sub	models, methods and applications
topic	Linear Models and Regression Applied Statistics Data Analysis and Big Data Non-parametric Inference Parametric Inference Statistical Theory and Methods Regression analysis Statistics Quantitative research Nonparametric statistics Mathematical statistics
topic_facet	Linear Models and Regression Applied Statistics Data Analysis and Big Data Non-parametric Inference Parametric Inference Statistical Theory and Methods Regression analysis Statistics Quantitative research Nonparametric statistics Mathematical statistics
url	https://doi.org/10.1007/978-3-662-63882-8
work_keys_str_mv	AT fahrmeirludwig regressionmodelsmethodsandapplications AT kneibthomas regressionmodelsmethodsandapplications AT langstefan regressionmodelsmethodsandapplications AT marxbriand regressionmodelsmethodsandapplications

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