Modern Nonparametric, Robust and Multivariate Methods [electronic resource] : Festschrift in Honour of Hannu Oja / edited by Klaus Nordhausen, Sara Taskinen.

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Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Edition: 1st ed. 2015Description: XX, 506 p. 85 illus., 47 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319224046

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Printed edition:: No titleDDC classification:

519.5 23

LOC classification:

QA276-280

Online resources:

Click here to access online

Contents:

Foreword -- Preface -- Part I: Remarks About Hannu Oja’s Career and Publications -- Part II: Univariate Nonparametric and Robust Methods -- Part III: Nonparametric and Robust Methods for Multivariate and Functional Data -- Part IV: Invariant Coordinate Selection and Related Methods.

In: Springer eBooksSummary: Written by leading experts in the field, this edited volume brings together the latest findings in the area of nonparametric, robust and multivariate statistical methods. The individual contributions cover a wide variety of topics ranging from univariate nonparametric methods to robust methods for complex data structures. Some examples from statistical signal processing are also given. The volume is dedicated to Hannu Oja on the occasion of his 65th birthday and is intended for researchers as well as PhD students with a good knowledge of statistics.

Item type:

eBooks

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Written by leading experts in the field, this edited volume brings together the latest findings in the area of nonparametric, robust and multivariate statistical methods. The individual contributions cover a wide variety of topics ranging from univariate nonparametric methods to robust methods for complex data structures. Some examples from statistical signal processing are also given. The volume is dedicated to Hannu Oja on the occasion of his 65th birthday and is intended for researchers as well as PhD students with a good knowledge of statistics.