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Titlebook: Recent Advances in Robust Statistics: Theory and Applications; Claudio Agostinelli,Ayanendranath Basu,Diganta Muk Conference proceedings 2

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書目名稱Recent Advances in Robust Statistics: Theory and Applications
編輯Claudio Agostinelli,Ayanendranath Basu,Diganta Muk
視頻videohttp://file.papertrans.cn/823/822982/822982.mp4
概述Presents a diverse collection of research papers, specifically devoted to the subject of robustness.Discusses many new applications of and recent advances in robust methods.Explores the applications o
圖書封面Titlebook: Recent Advances in Robust Statistics: Theory and Applications;  Claudio Agostinelli,Ayanendranath Basu,Diganta Muk Conference proceedings 2
描述.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 an
出版日期Conference proceedings 2016
關(guān)鍵詞Data depth; Distance and divergence measures; Functional data; High dimensional data; Robust dimension r
版次1
doihttps://doi.org/10.1007/978-81-322-3643-6
isbn_softcover978-81-322-3876-8
isbn_ebook978-81-322-3643-6
copyrightSpringer India 2016
The information of publication is updating

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Robust and Sparse Estimation of the Inverse Covariance Matrix Using Rank Correlation Measures,es in high dimensions, when the data may contain several outliers in many cells of the data matrix. More traditional robust estimators are not well defined or computable in this setting. An important feature of the proposed estimators is their simplicity and easiness to compute using existing softwa
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SB-Robustness of Estimators,th bounded mean and standard deviation. We also show that the above-mentioned performance measures are not SB-robust at the larger family of normal distributions with unbounded mean and standard deviation.
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Conference proceedings 2016 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 an
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Arnab Kumar Laha,A. C. Pravida Raja studies and scholars of consumer culture..??.This eagerly awaited volume offers deep and extensive insights into the fast-growing field of material culture studies. Its fresh approach to Eurasian objects and materialities will serve? as useful reading for all schola978-3-319-75640-0978-3-319-75641-7Series ISSN 2191-656X Series E-ISSN 2191-6578
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