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  • Book
  • © 2015

Modern Nonparametric, Robust and Multivariate Methods

Festschrift in Honour of Hannu Oja

  • 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

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Table of contents (27 chapters)

  1. Front Matter

    Pages i-xx
  2. Remarks About Hannu Oja’s Career and Publications

    1. Front Matter

      Pages 1-1
    2. Publication and Coauthorship Networks of Hannu Oja

      • Daniel Fischer, Klaus Nordhausen, Sara Taskinen
      Pages 7-27
  3. Univariate Nonparametric and Robust Methods

    1. Front Matter

      Pages 29-29
    2. Approximate U-Statistics for State Waiting Times Under Right Censoring

      • Somnath Datta, Douglas J. Lorenz, Susmita Datta
      Pages 31-46
    3. Permutation Tests in Linear Regression

      • Jukka Nyblom
      Pages 69-90
    4. Optimal Rank Tests for Symmetry Against Edgeworth-Type Alternatives

      • Delphine Cassart, Marc Hallin, Davy Paindaveine
      Pages 109-132
    5. Generalized MM-Tests for Symmetry

      • Jue Wang, David E. Tyler
      Pages 133-148
  4. Nonparametric and Robust Methods for Multivariate and Functional Data

    1. Front Matter

      Pages 149-149
    2. Robust Coordinates for Compositional Data Using Weighted Balances

      • Peter Filzmoser, Karel Hron
      Pages 167-184
    3. Computation of the Oja Median by Bounded Search

      • Karl Mosler, Oleksii Pokotylo
      Pages 185-203
    4. Algorithms for the Spatial Median

      • John T. Kent, Fikret Er, Patrick D. L. Constable
      Pages 205-224
    5. L1-Regression for Multivariate Clustered Data

      • Jaakko Nevalainen, Denis Larocque
      Pages 225-234
    6. On Some Nonparametric Classifiers Based on Distribution Functions of Multivariate Ranks

      • Olusola Samuel Makinde, Biman Chakraborty
      Pages 249-264

About this book

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.

Editors and Affiliations

  • Department of Mathematics and Statistics, School of Health Sciences, University of Turku, Turku, Finland

    Klaus Nordhausen

  • Department of Mathematics and Statistics, University of Jyväskylä, Jyväskylä, Finland

    Sara Taskinen

About the editors

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.

 

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access