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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.
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.
This book presents recent developments in multivariate and robust
statistical methods. Featuring contributions by leading experts in
the field it covers various topics, including multivariate and
high-dimensional methods, time series, graphical models, robust
estimation, supervised learning and normal extremes. It will appeal
to statistics and data science researchers, PhD students and
practitioners who are interested in modern multivariate and robust
statistics. The book is dedicated to David E. Tyler on the occasion
of his pending retirement and also includes a review contribution
on the popular Tyler’s shape matrix.
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