Modern Nonparametric, Robust and Multivariate Methods, 1st ed. 2015 Festschrift in Honour of Hannu Oja
Coordonnateurs : Nordhausen Klaus, Taskinen Sara
Written by leading experts in the field, this edited volume brings together the latest findings in the area of nonparametric, robust and multivariate statistical methods. The individual contributions cover a wide variety of topics ranging from univariate nonparametric methods to robust methods for complex data structures. Some examples from statistical signal processing are also given. The volume is dedicated to Hannu Oja on the occasion of his 65th birthday and is intended for researchers as well as PhD students with a good knowledge of statistics.
Dr. Klaus Nordhausen is a postdoctoral researcher at the Department of Mathematics and Statistics at the University of Turku. His main research interests include multivariate and robust statistical methods and blind source separation.
Dr. Sara Taskinen is an Academy Research Fellow at the Department of Mathematics and Statistics at the University of Jyväskylä. Her main research interests include nonparametric and robust multivariate methods, statistical signal processing and robust methods in biology and ecology.
Date de parution : 10-2015
Ouvrage de 506 p.
15.5x23.5 cm
Date de parution : 08-2016
Ouvrage de 506 p.
15.5x23.5 cm
Thèmes de Modern Nonparametric, Robust and Multivariate Methods :
Mots-clés :
62H10, 62H12, 62H15, 62H20, 62G10, 62G35, 92C55, asymptotics, dimension reduction, multivariate statistics, nonparametric statistical methods, robustness