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Recent Advances in Robust Statistics: Theory and Applications

Recent Advances in Robust Statistics: Theory and Applications

Hardcover

Business GeneralMedical ReferenceProbability & Statistics

ISBN10: 8132236416
ISBN13: 9788132236412
Publisher: Springer Nature
Published: Nov 11 2016
Pages: 201
Weight: 1.05
Height: 0.50 Width: 6.14 Depth: 9.21
Language: English

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.

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