Recent Advances in Robust Statistics: Theory and Applications

  • Claudio Agostinelli
  • Ayanendranath Basu
  • Peter Filzmoser
  • Diganta Mukherjee

Table of contents

  1. Front Matter
    Pages i-x
  2. Mohammed Baragilly, Biman Chakraborty
    Pages 17-33
  3. Fatma Zehra Doğru, Olcay Arslan
    Pages 57-79
  4. Anna-Lena Kißlinger, Wolfgang Stummer
    Pages 81-113
  5. Arnab Kumar Laha, A. C. Pravida Raja
    Pages 115-130
  6. Eero Liski, Klaus Nordhausen, Hannu Oja, Anne Ruiz-Gazen
    Pages 131-149
  7. Jari Miettinen, Klaus Nordhausen, Sara Taskinen, David E. Tyler
    Pages 151-167
  8. Back Matter
    Pages 201-201

About these proceedings

Introduction

This book offers a collection of recent contributions and emerging ideas in the areas of robust statistics presented at the International Conference on Robust Statistics 2015 (ICORS 2015) held in Kolkata during 12–16 January, 2015. The book explores the applicability of robust methods in other non-traditional areas which includes the use of new techniques such as skew and mixture of skew distributions, scaled Bregman divergences, and  multilevel functional data methods; application areas being circular data models and prediction of mortality and life expectancy. The contributions are of both theoretical as well as applied in nature. Robust statistics is a relatively young branch of statistical sciences that is rapidly emerging as the bedrock of statistical analysis in the 21st century due to its flexible nature and wide scope. Robust statistics supports the application of parametric and other inference techniques over a broader domain than the strictly interpreted model scenarios employed in classical statistical methods.

The aim of the ICORS conference, which is being organized annually since 2001, is to bring together researchers interested in robust statistics, data analysis and related areas. The conference is meant for theoretical and applied statisticians, data analysts from other fields, leading experts, junior researchers and graduate students. The ICORS meetings offer a forum for discussing recent advances and emerging ideas in statistics with a focus on robustness, and encourage informal contacts and discussions among all the participants. They also play an important role in maintaining a cohesive group of international researchers interested in robust statistics and related topics, whose interactions transcend the meetings and endure year round.

Keywords

Data depth Distance and divergence measures Functional data High dimensional data Robust dimension reduction Robust statistics Statistical computing

Editors and affiliations

  • Claudio Agostinelli
    • 1
  • Ayanendranath Basu
    • 2
  • Peter Filzmoser
    • 3
  • Diganta Mukherjee
    • 4
  1. 1.Department of MathematicsUniversity of TrentoTrentoItaly
  2. 2.Interdisciplinary Statistical Research UnitIndian Statistical InstituteKolkataIndia
  3. 3.Institute of Statistics and Mathematical Methods in EconomicsVienna University of TechnologyViennaAustria
  4. 4.Sampling and Official Statistics UnitIndian Statistical InstituteKolkataIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-81-322-3643-6
  • Copyright Information Springer India 2016
  • Publisher Name Springer, New Delhi
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-81-322-3641-2
  • Online ISBN 978-81-322-3643-6
  • About this book