Recent Advances in Robust Statistics: Theory and Applications. 1st ed. 2016

種類:

電子ブック

責任表示:

edited by Claudio Agostinelli, Ayanendranath Basu, Peter Filzmoser, Diganta Mukherjee

出版情報:

New Delhi : Springer India : Imprint: Springer, 2016

著者名:

• Agostinelli, Claudio.
• Basu, Ayanendranath.
• Filzmoser, Peter.
• Mukherjee, Diganta.
• SpringerLink (Online service)

ISBN:

9788132236436 [8132236432]    

注記:

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 statisti

ローカル注記:

学内専用E-BOOKS (local access only)