Modern Nonparametric, Robust and Multivariate Methods (eBook, PDF)

Festschrift in Honour of Hannu Oja

• Format: PDF

Produktbeschreibung

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.

Produktdetails

• Verlag: Springer International Publishing
• Erscheinungstermin: 5. Oktober 2015
• Englisch
• ISBN-13: 9783319224046
• Artikelnr.: 44620544

Autorenporträt

Dr. Klaus Nordhausen is a postdoctoral researcher at the Department of Mathematics and Statistics at the University of Turku. His main research interests include multivariate and robust statistical methods and blind source separation.

Dr. Sara Taskinen is an Academy Research Fellow at the Department of Mathematics and Statistics at the University of Jyväskylä. Her main research interests include nonparametric and robust multivariate methods, statistical signal processing and robust methods in biology and ecology.

Inhaltsangabe

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.

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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.