Verlag: Cham, Springer International Publishing., 2021
ISBN 10: 3030691497 ISBN 13: 9783030691493
Sprache: Englisch
Anbieter: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Deutschland
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In den Warenkorb1st ed. 2021. 1 Online-Ressource (XXI, 435 p. 148 illus., 123 illus. in color). Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Quantitative Methods in the Humanities and Social Sciences. Sprache: Englisch.
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In den WarenkorbHardcover. Zustand: Very Good. 1st Edition. Hardcover, xxi + 579 pages, NOT ex-library. Weight 1015g. Owner's name concealed with a blank sticker inside the front board. Book is clean and bright throughout with unmarked text, free of stamps, firmly bound. Boards show gentle handling wear, a touch of sunning. Issued without a dust jacket.
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In den WarenkorbZustand: New. pp. 436.
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In den WarenkorbZustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1050grams, ISBN:9780470164976.
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In den WarenkorbZustand: New. pp. 436.
Verlag: Springer Nature Switzerland AG, 2021
ISBN 10: 3030691497 ISBN 13: 9783030691493
Sprache: Englisch
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In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Verlag: Springer International Publishing, 2021
ISBN 10: 3030691497 ISBN 13: 9783030691493
Sprache: Englisch
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In den WarenkorbZustand: New. Offers a comprehensive case study-based overview for performing multivariate exploratory data analysis in the arts and the humanitiesFeatures case studies, examples, and problems from a large variety of sub-disciplinesEmphasizes data visualizat.
Verlag: Springer Nature Switzerland AG, 2021
ISBN 10: 3030691497 ISBN 13: 9783030691493
Sprache: Englisch
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In den WarenkorbZustand: New. pp. 436.
Verlag: Springer Nature Switzerland AG, 2022
ISBN 10: 3030691527 ISBN 13: 9783030691523
Sprache: Englisch
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In den WarenkorbZustand: New.
Verlag: Springer International Publishing, Springer Nature Switzerland, 2022
ISBN 10: 3030691527 ISBN 13: 9783030691523
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory analyses of various types of datasets from a wide range of sub-disciplines, promoting the use of multivariate analysis and illustrating its wide applicability. Fields featured include, but are not limited to, historical agriculture, arts (music and painting), theology, and stylometrics (authorship issues). Most analyses are based on existing data, earlier analysed in published peer-reviewed papers.Four preliminary methodological and statistical chapters provide general technical background to the case studies. The multivariate statistical methods presented and illustrated include data inspection, several varieties of principal component analysis, correspondence analysis, multidimensional scaling, cluster analysis, regression analysis, discriminant analysis, and three-mode analysis.The bulk of the text is taken up by 14 case studies that lean heavily on graphical representations of statistical information such as biplots, using descriptive statistical techniques to support substantive conclusions. Each study features a description of the substantive background to the data, followed by discussion of appropriate multivariate techniques, and detailed results interpreted through graphical illustrations. Each study is concluded with a conceptual summary. Datasets in SPSS are included online.
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In den WarenkorbZustand: NEW.
Verlag: Springer Nature Switzerland AG, CH, 2021
ISBN 10: 3030691497 ISBN 13: 9783030691493
Sprache: Englisch
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
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In den WarenkorbHardback. Zustand: New. 2021 ed. This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory analyses of various types of datasets from a wide range of sub-disciplines, promoting the use of multivariate analysis and illustrating its wide applicability. Fields featured include, but are not limited to, historical agriculture, arts (music and painting), theology, and stylometrics (authorship issues). Most analyses are based on existing data, earlier analysed in published peer-reviewed papers.Four preliminary methodological and statistical chapters provide general technical background to the case studies. The multivariate statistical methods presented and illustrated include data inspection, several varieties of principal component analysis, correspondence analysis, multidimensional scaling, cluster analysis, regression analysis, discriminant analysis, and three-mode analysis.The bulk of the text is taken up by 14 case studies that lean heavily on graphical representations of statistical information such as biplots, using descriptive statistical techniques to support substantive conclusions. Each study features a description of the substantive background to the data, followed by discussion of appropriate multivariate techniques, and detailed results interpreted through graphical illustrations. Each study is concluded with a conceptual summary. Datasets in SPSS are included online.
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Verlag: Springer Nature Switzerland AG, CH, 2021
ISBN 10: 3030691497 ISBN 13: 9783030691493
Sprache: Englisch
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
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In den WarenkorbHardback. Zustand: New. 2021 ed. This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory analyses of various types of datasets from a wide range of sub-disciplines, promoting the use of multivariate analysis and illustrating its wide applicability. Fields featured include, but are not limited to, historical agriculture, arts (music and painting), theology, and stylometrics (authorship issues). Most analyses are based on existing data, earlier analysed in published peer-reviewed papers.Four preliminary methodological and statistical chapters provide general technical background to the case studies. The multivariate statistical methods presented and illustrated include data inspection, several varieties of principal component analysis, correspondence analysis, multidimensional scaling, cluster analysis, regression analysis, discriminant analysis, and three-mode analysis.The bulk of the text is taken up by 14 case studies that lean heavily on graphical representations of statistical information such as biplots, using descriptive statistical techniques to support substantive conclusions. Each study features a description of the substantive background to the data, followed by discussion of appropriate multivariate techniques, and detailed results interpreted through graphical illustrations. Each study is concluded with a conceptual summary. Datasets in SPSS are included online.
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Verlag: Springer International Publishing, Springer Nature Switzerland Jun 2021, 2021
ISBN 10: 3030691497 ISBN 13: 9783030691493
Sprache: Englisch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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In den WarenkorbBuch. Zustand: Neu. Neuware -This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory analyses of various types of datasets from a wide range of sub-disciplines, promoting the use of multivariate analysis and illustrating its wide applicability. Fields featured include, but are not limited to, historical agriculture, arts (music and painting), theology, and stylometrics (authorship issues). Most analyses are based on existing data, earlier analysed in published peer-reviewed papers.Four preliminary methodological and statistical chapters provide general technical background to the case studies. The multivariate statistical methods presented and illustrated include data inspection, several varieties of principal component analysis, correspondence analysis, multidimensional scaling, cluster analysis, regression analysis, discriminant analysis, and three-mode analysis.The bulk of the text is taken up by 14 case studies that lean heavily on graphical representations of statistical information such as biplots, using descriptive statistical techniques to support substantive conclusions. Each study features a description of the substantive background to the data, followed by discussion of appropriate multivariate techniques, and detailed results interpreted through graphical illustrations. Each study is concluded with a conceptual summary. Datasets in SPSS are included online.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 460 pp. Englisch.
Verlag: Springer International Publishing, Springer Nature Switzerland, 2021
ISBN 10: 3030691497 ISBN 13: 9783030691493
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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In den WarenkorbBuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory analyses of various types of datasets from a wide range of sub-disciplines, promoting the use of multivariate analysis and illustrating its wide applicability. Fields featured include, but are not limited to, historical agriculture, arts (music and painting), theology, and stylometrics (authorship issues). Most analyses are based on existing data, earlier analysed in published peer-reviewed papers.Four preliminary methodological and statistical chapters provide general technical background to the case studies. The multivariate statistical methods presented and illustrated include data inspection, several varieties of principal component analysis, correspondence analysis, multidimensional scaling, cluster analysis, regression analysis, discriminant analysis, and three-mode analysis.The bulk of the text is taken up by 14 case studies that lean heavily on graphical representations of statistical information such as biplots, using descriptive statistical techniques to support substantive conclusions. Each study features a description of the substantive background to the data, followed by discussion of appropriate multivariate techniques, and detailed results interpreted through graphical illustrations. Each study is concluded with a conceptual summary. Datasets in SPSS are included online.
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