Robust Multivariate Analysis by Olive David (17 results)

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  • Language: English

    Published by Springer, 2018

    3319885715 / 9783319885711

    • Softcover

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    Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This text presents methods that are robust to the assumption of a multivariate normal distribution or methods that are robust to certain types of outliers. Instead of using exact theory based on the multivariate normal distribution, the simpler and more applicable large sample theory is given. The text develops among the first practical robust regression and robust multivariate location and dispersion estimators backed by theory. The robust techniques are illustrated for methods such as principal component analysis, canonical correlation analysis, and factor analysis. A simple way to bootstrap confidence regions is also provided. Much of the research on robust multivariate analysis in this book is being published for the first time. The text is suitable for a first course in Multivariate Statistical Analysis or a first course in Robust Statistics. This graduate text is also useful for people who are familiar with the traditional multivariate topics, but want to know more about handling data sets with outliers. Many R programs and R data sets are available on the author's website.…

  • Language: English

    Published by Springer, 2018

    3319885715 / 9783319885711

    • Softcover

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  • Language: English

    Published by Springer, 2018

    3319885715 / 9783319885711

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    Taschenbuch. Condition: Neu. Robust Multivariate Analysis | David J. Olive | Taschenbuch | xvi | Englisch | 2018 | Springer | EAN 9783319885711 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Language: English

    Published by Springer, 2017

    3319682512 / 9783319682518

    • Hardcover

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    Condition: New. pp. 501.

  • Language: English

    Published by Springer, 2017

    3319682512 / 9783319682518

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    Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This text presents methods that are robust to the assumption of a multivariate normal distribution or methods that are robust to certain types of outliers. Instead of using exact theory based on the multivariate normal distribution, the simpler and more applicable large sample theory is given. The text develops among the first practical robust regression and robust multivariate location and dispersion estimators backed by theory. The robust techniques are illustrated for methods such as principal component analysis, canonical correlation analysis, and factor analysis. A simple way to bootstrap confidence regions is also provided. Much of the research on robust multivariate analysis in this book is being published for the first time. The text is suitable for a first course in Multivariate Statistical Analysis or a first course in Robust Statistics. This graduate text is also useful for people who are familiar with the traditional multivariate topics, but want to know more about handling data sets with outliers. Many R programs and R data sets are available on the author's website.…

  • Language: English

    Published by Springer, 2018

    3319885715 / 9783319885711

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  • Language: English

    Published by Springer, 2017

    3319682512 / 9783319682518

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  • Language: English

    Published by Springer International Publishing, Springer Nature Switzerland Mai 2018, 2018

    3319885715 / 9783319885711

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This text presents methods that are robust to the assumption of a multivariate normal distribution or methods that are robust to certain types of outliers. Instead of using exact theory based on the multivariate normal distribution, the simpler and more applicable large sample theory is given. The text develops among the first practical robust regression and robust multivariate location and dispersion estimators backed by theory. The robust techniques are illustrated for methods such as principal component analysis, canonical correlation analysis, and factor analysis. A simple way to bootstrap confidence regions is also provided. Much of the research on robust multivariate analysis in this book is being published for the first time. The text is suitable for a first course in Multivariate Statistical Analysis or a first course in Robust Statistics. This graduate text is also useful for people who are familiar with the traditional multivariate topics, but want to know more about handling data sets with outliers. Many R programs and R data sets are available on the author's website. 520 pp. Englisch.…

  • Language: English

    Published by Springer International Publishing, 2018

    3319885715 / 9783319885711

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    Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. David Olive is a Professor at Southern Illinois University, Carbondale, IL, USA. &nbspHis research interests include the development of computationally practical robust multivariate location and dispersion estimators, robust multiple linear regression e.…

  • Language: English

    Published by Springer International Publishing Dez 2017, 2017

    3319682512 / 9783319682518

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    Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This text presents methods that are robust to the assumption of a multivariate normal distribution or methods that are robust to certain types of outliers. Instead of using exact theory based on the multivariate normal distribution, the simpler and more applicable large sample theory is given. The text develops among the first practical robust regression and robust multivariate location and dispersion estimators backed by theory. The robust techniques are illustrated for methods such as principal component analysis, canonical correlation analysis, and factor analysis. A simple way to bootstrap confidence regions is also provided. Much of the research on robust multivariate analysis in this book is being published for the first time. The text is suitable for a first course in Multivariate Statistical Analysis or a first course in Robust Statistics. This graduate text is also useful for people who are familiar with the traditional multivariate topics, but want to know more about handling data sets with outliers. Many R programs and R data sets are available on the author's website. 520 pp. Englisch.…

  • Language: English

    Published by Springer, 2018

    3319885715 / 9783319885711

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  • Language: English

    Published by Springer, 2018

    3319885715 / 9783319885711

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    Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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  • Language: English

    Published by Springer International Publishing, 2017

    3319682512 / 9783319682518

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    Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. David Olive is a Professor at Southern Illinois University, Carbondale, IL, USA. &nbspHis research interests include the development of computationally practical robust multivariate location and dispersion estimators, robust multiple linear regression e.…

  • Language: English

    Published by Springer, Palgrave Macmillan Mai 2018, 2018

    3319885715 / 9783319885711

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    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Includes dozens of R functions for making plots and estimatorsSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 520 pp. Englisch.

  • Language: English

    Published by Springer, 2017

    3319682512 / 9783319682518

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    Seller: Majestic Books, Hounslow, United KingdomMajestic Books

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    Condition: New. Print on Demand pp. 501.

  • Language: English

    Published by Springer, Palgrave Macmillan Dez 2017, 2017

    3319682512 / 9783319682518

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    Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Includes dozens of R functions for making plots and estimatorsSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 520 pp. Englisch.

  • Language: English

    Published by Springer, 2017

    3319682512 / 9783319682518

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    Condition: New. PRINT ON DEMAND pp. 501.