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Recent Advances in Robust Statistics: Theory and Applications (Paperback, Softcover reprint of the original 1st ed. 2016)
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Recent Advances in Robust Statistics: Theory and Applications (Paperback, Softcover reprint of the original 1st ed. 2016)
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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.
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