Isbn: 9783031139734 - innovations in multivariate statistical modeling: navigating theoretical and multidisciplinary domains (11 risultati)

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    • Lingua: Inglese

      Editore: Springer, 2023

      3031139739 / 9783031139734

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    • Lingua: Inglese

      Editore: Springer, 2023

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      Taschenbuch. Condizione: Neu. Innovations in Multivariate Statistical Modeling | Navigating Theoretical and Multidisciplinary Domains | Andriëtte Bekker (u. a.) | Taschenbuch | xii | Englisch | 2023 | Springer | EAN 9783031139734 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

    • Lingua: Inglese

      Editore: Springer, 2023

      3031139739 / 9783031139734

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      Condizione: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

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      Paperback. Condizione: Brand New. 451 pages. 9.25x6.10x0.91 inches. In Stock.

    • Lingua: Inglese

      Editore: Springer, 2023

      3031139739 / 9783031139734

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      Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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      Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Multivariate statistical analysis has undergone a rich and varied evolution during the latter half of the 20th century. Academics and practitioners have produced much literature with diverse interests and with varying multidisciplinary knowledge on different topics within the multivariate domain. Due to multivariate algebra being of sustained interest and being a continuously developing field, its appeal breaches laterally across multiple disciplines to act as a catalyst for contemporary advances, with its core inferential genesis remaining in that of statistics.It is exactly this varied evolution caused by an influx in data production, diffusion, and understanding in scientific fields that has blurred many lines between disciplines. The cross-pollination between statistics and biology, engineering, medical science, computer science, and even art, has accelerated the vast amount of questions that statistical methodology has to answer and report on. These questions are often multivariate in nature, hoping to elucidate uncertainty on more than one aspect at the same time, and it is here where statistical thinking merges mathematical design with real life interpretation for understanding this uncertainty.Statistical advances benefit from these algebraic inventions and expansions in the multivariate paradigm. This contributed volume aims to usher novel research emanating from a multivariate statistical foundation into the spotlight, with particular significance in multidisciplinary settings. The overarching spirit of this volume is to highlight current trends, stimulate a focus on, and connect multidisciplinary dots from and within multivariate statistical analysis. Guided by these thoughts, a collection of research at the forefront of multivariate statistical thinking is presented here which has been authored by globally recognized subject matter experts.

    • Lingua: Inglese

      Editore: Springer, 2023

      3031139739 / 9783031139734

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      Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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      Condizione: new. Questo è un articolo print on demand.

    • Lingua: Inglese

      Editore: Springer International Publishing, 2023

      3031139739 / 9783031139734

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      Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Features new developments and contemporary innovations originating from multivariate statistical theoryShowcases multidisciplinary approaches and applications, reaching both theoretical and applied statisticiansHighlights fundamental statis.

    • Lingua: Inglese

      Editore: Springer International Publishing Dez 2023, 2023

      3031139739 / 9783031139734

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      Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Multivariate statistical analysis has undergone a rich and varied evolution during the latter half of the 20th century. Academics and practitioners have produced much literature with diverse interests and with varying multidisciplinary knowledge on different topics within the multivariate domain. Due to multivariate algebra being of sustained interest and being a continuously developing field, its appeal breaches laterally across multiple disciplines to act as a catalyst for contemporary advances, with its core inferential genesis remaining in that of statistics.It is exactly this varied evolution caused by an influx in data production, diffusion, and understanding in scientific fields that has blurred many lines between disciplines. The cross-pollination between statistics and biology, engineering, medical science, computer science, and even art, has accelerated the vast amount of questions that statistical methodology has to answer and report on. These questions are often multivariate in nature, hoping to elucidate uncertainty on more than one aspect at the same time, and it is here where statistical thinking merges mathematical design with real life interpretation for understanding this uncertainty.Statistical advances benefit from these algebraic inventions and expansions in the multivariate paradigm. This contributed volume aims to usher novel research emanating from a multivariate statistical foundation into the spotlight, with particular significance in multidisciplinary settings. The overarching spirit of this volume is to highlight current trends, stimulate a focus on, and connect multidisciplinary dots from and within multivariate statistical analysis. Guided by these thoughts, a collection of research at the forefront of multivariate statistical thinking is presented here which has been authored by globally recognized subject matter experts. 452 pp. Englisch.

    • Lingua: Inglese

      Editore: Springer, Springer Dez 2023, 2023

      3031139739 / 9783031139734

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      Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Multivariate statistical analysis has undergone a rich and varied evolution during the latter half of the 20th century. Academics and practitioners have produced much literature with diverse interests and with varying multidisciplinary knowledge on different topics within the multivariate domain. Due to multivariate algebra being of sustained interest and being a continuously developing field, its appeal breaches laterally across multiple disciplines to act as a catalyst for contemporary advances, with its core inferential genesis remaining in that of statistics.It is exactly this varied evolution caused by an influx in data production, diffusion, and understanding in scientific fields that has blurred many lines between disciplines. The cross-pollination between statistics and biology, engineering, medical science, computer science, and even art, has accelerated the vast amount of questions that statistical methodology has to answer and report on. These questions are often multivariate in nature, hoping to elucidate uncertainty on more than one aspect at the same time, and it is here where statistical thinking merges mathematical design with real life interpretation for understanding this uncertainty.Statistical advances benefit from these algebraic inventions and expansions in the multivariate paradigm. This contributed volume aims to usher novel research emanating from a multivariate statistical foundation into the spotlight, with particular significance in multidisciplinary settings. The overarching spirit of this volume is to highlight current trends, stimulate a focus on, and connect multidisciplinary dots from and within multivariate statistical analysis. Guided by these thoughts, a collection of research at the forefront of multivariate statistical thinking is presented here which has been authored by globally recognized subject matter experts.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 452 pp. Englisch.

    • Lingua: Inglese

      Editore: Springer, 2023

      3031139739 / 9783031139734

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    • Lingua: Inglese

      Editore: Springer, 2023

      3031139739 / 9783031139734

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