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Robustness and Complex Data Structures: Festschrift in Honour of Ursula Gather
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Catalogue Information
Field name
Details
Dewey Class
519.5
Title
Robustness and Complex Data Structures ([Ebook]) : Festschrift in Honour of Ursula Gather / edited by Claudia Becker, Roland Fried, Sonja Kuhnt.
Author
Becker, Claudia
Added Personal Name
Fried, Roland
Kuhnt, Sonja
Other name(s)
SpringerLink (Online service)
Publication
Berlin, Heidelberg : Springer
, 2013.
Physical Details
X, 379 p. 82 illus., 12 illus. in color. : online resource.
ISBN
9783642354946
Summary Note
This Festschrift in honour of Ursula Gather's 60th birthday deals with modern topics in the field of robust statistical methods, especially for time series and regression analysis, and with statistical methods for complex data structures. The individual contributions of leading experts provide a textbook-style overview of the topic, supplemented by current research results and questions. The statistical theory and methods in this volume aim at the analysis of data which deviate from classical stringent model assumptions, which contain outlying values and/or have a complex structure. Written for researchers as well as master and PhD students with a good knowledge of statistics.:
Contents note
Part I Univariate and Multivariate Robust Methods: Multivariate Median (Hannu Oja) -- Depth Statistics (Karl Mosler) -- Multivariate Extremes: A Conditional Quantile Approach (Marie-Françoise Barme-Delcroix) -- High-Breakdown Estimators of Multivariate Location and Scatter (Peter Rousseeuw and Mia Hubert) -- Upper and Lower Bounds for Breakdown Points (Christine H. Müller) -- The Concept of α-outliers in Structured Data Situations (Sonja Kuhnt and André Rehage) -- Multivariate OutlierIidentification Based on Robust Estimators of Location and Scatter (Claudia Becker, Steffen Liebscher and Thomas Kirschstein) -- Robustness for Compositional Data (Peter Filzmoser and Karel Hron) -- Part II Regression and Time Series Analysis: Least Squares Estimation in High Dimensional Sparse Heteroscedastic Models (Holger Dette and Jens Wagener) -- Bayesian Smoothing, Shrinkage and Variable Selection in Hazard Regression (Susanne Konrath, Ludwig Fahrmeir and Thomas Kneib) -- Robust Change Point Analysis (Marie HuÅ¡ková) -- Robust Signal Extraction From Time Series in Real Time (Matthias Borowski, Roland Fried and Michael Imhoff) -- Robustness in Time Series: Robust Frequency Domain Analysis (Bernhard Spangl and Rudolf Dutter) -- Robustness in Statistical Forecasting (Yuriy Kharin) -- Finding Outliers in Linear and Nonlinear Time Series (Pedro Galeano and Daniel Peña) -- Part III Complex Data Structures: Qualitative Robustness of Bootstrap Approximations for Kernel Based Methods (Andreas Christmann, MatÃas Salibián-Barrera and Stefan Van Aels) -- Some Machine Learning Approaches to the Analysis of Temporal Data (Katharina Morik) -- Correlation, Tail Dependence and Diversification (Dietmar Pfeifer) -- Evidence for Alternative Hypotheses (Stephan Morgenthaler and Robert G. Staudte) -- Concepts and a Case Study for a Flexible Class of Graphical Markov Models (NannyWermuth and David R. Cox) -- Data Mining in Pharmacoepidemiological Databases (Marc Suling, Robert Weber and Iris Pigeot) -- Meta-Analysis of Trials with Binary Outcomes (Jürgen Wellmann).
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
http://dx.doi.org/10.1007/978-3-642-35494-6
Links to Related Works
Subject References:
Distribution (Probability theory)
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Mathematical Statistics
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Probability theory and stochastic processes
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Statistical Theory and Methods
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Statistics
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Statistics and Computing/Statistics Programs
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Authors:
Becker, Claudia
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editor
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Fried, Roland
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Kuhnt, Sonja
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Corporate Authors:
SpringerLink (Online service)
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Classification:
519.5
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519.5 (DDC 23)
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