| 书目名称 | Recent Advances in Robust Statistics: Theory and Applications |
| 编辑 | Claudio Agostinelli,Ayanendranath Basu,Diganta Muk |
| 视频video | |
| 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 |
| 图书封面 |  |
| 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 |
| 关键词 | Data depth; Distance and divergence measures; Functional data; High dimensional data; Robust dimension r |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-81-322-3643-6 |
| isbn_softcover | 978-81-322-3876-8 |
| isbn_ebook | 978-81-322-3643-6 |
| copyright | Springer India 2016 |
发表于 2025-3-21 16:55:59
