Modern Nonparametric, Robust and Multivariate Methods

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.

Features new findings in the area of nonparametric, robust and multivariate statistics Includes contributions on statistical signal processing Appeals to researchers and PhD students interested in the latest developments in the field

Autorentext

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.

Inhalt
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.