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Developments in Robust Statistics

Language EnglishEnglish
Book Hardback
Book Developments in Robust Statistics Rudolf Dutter
Libristo code: 01737896
Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, September 2002
Aspects of Robust Statistics are important in many areas. Based on the International Conference on R... Full description
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Aspects of Robust Statistics are important in many areas. Based on the International Conference on Robust Statistics 2001 (ICORS 2001) in Vorau, Austria, this volume discusses future directions of the discipline, bringing together leading scientists, experienced researchers and practitioners, as well as younger researchers. The papers cover a multitude of different aspects of Robust Statistics. For instance, the fundamental problem of data summary (weights of evidence) is considered and its robustness properties are studied. Further theoretical subjects include e.g.: robust methods for skewness, time series, longitudinal data, multivariate methods, and tests. Some papers deal with computational aspects and algorithms. Finally, the aspects of application and programming tools complete the volume.

About the book

Full name Developments in Robust Statistics
Author Rudolf Dutter, Peter Filzmoser, Ursula Gather
Language English
Binding Book - Hardback
Date of issue 2002
Number of pages 431
EAN 9783790815184
ISBN 3790815187
Libristo code 01737896
Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Weight 840
Dimensions 155 x 235 x 29

Categories

Mathematics & Science > Mathematics > Applied mathematics > Stochastics
Computing & Information Technology > Computer science > Mathematical theory of computation > Maths for computer scientists
Reference, Information & Interdisciplinary subjects > Research & information: general > Data analysis: general
Economics, Finance, Business & Management > Economics > Econometrics & economic statistics
Mathematics & Science > Mathematics > Probability & statistics
Computing & Information Technology > Business applications > Mathematical & statistical software
Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
Computing & Information Technology > Computer programming / software engineering > Database programming
Computing & Information Technology > Databases > Data capture & analysis
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