Items related to Robust Correlation: Theory and Applications: 3 (Wiley...

Robust Correlation: Theory and Applications: 3 (Wiley Series in Probability and Statistics) - Hardcover

Book 283 of 355: Wiley Series in Probability and Statistics

Shevlyakov, Georgy L.; Oja, Hannu

 
9781118493458: Robust Correlation: Theory and Applications: 3 (Wiley Series in Probability and Statistics)
Hardcover
ISBN 10: 1118493451 ISBN 13: 9781118493458
Publisher: Wiley, 2016

Synopsis

This bookpresents material on both the analysis of the classical concepts of correlation and on the development of their robust versions, as well as discussing the related concepts of correlation matrices, partial correlation, canonical correlation, rank correlations, with the corresponding robust and non-robust estimation procedures. Every chapter contains a set of examples with simulated and real-life data.

Key features:

  • Makes modern and robust correlation methods readily available and understandable to practitioners, specialists, and consultants working in various fields.
  • Focuses on implementation of methodology and application of robust correlation with R.
  • Introduces the main approaches in robust statistics, such as Huber’s minimax approach and Hampel’s approach based on influence functions.
  • Explores various robust estimates of the correlation coefficient including the minimax variance and bias estimates as well as the most B- and V-robust estimates.
  • Contains applications of robust correlation methods to exploratory data analysis, multivariate statistics, statistics of time series, and to real-life data.
  • Includes an accompanying website featuring computer code and datasets
  • Features exercises and examples throughout the text using both small and large data sets.

Theoretical and applied statisticians, specialists in multivariate statistics, robust statistics, robust time series analysis, data analysis and signal processing will benefit from this book. Practitioners who use correlation based methods in their work as well as postgraduate students in statistics will also find this book useful.

"synopsis" may belong to another edition of this title.

About the Author

Georgy L. Shevlyakov, Department of Applied Mathematics, St. Petersburg State Polytechnic University, Russia

Hannu Oja, School of Health Sciences, University of Tampere, Finland

"About this title" may belong to another edition of this title.

Publisher
Wiley
Publication date
2016
Language
English
ISBN 10 
1118493451
ISBN 13 
9781118493458
Binding
Hardcover
Edition number
1
Number of pages
351