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Developments in Robust Statistics

International Conference on Robust Statistics 2001

Jezik AngleščinaAngleščina
Knjiga Trda
Knjiga Developments in Robust Statistics Rudolf Dutter
Koda Libristo: 01737896
Založba 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... Celoten opis
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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.

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O knjigi

Polni naslov Developments in Robust Statistics
Avtor Rudolf Dutter, Peter Filzmoser, Ursula Gather
Jezik Angleščina
Vezava Knjiga - Trda
Datum izida 2002
Število strani 431
EAN 9783790815184
ISBN 3790815187
Koda Libristo 01737896
Založba Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Teža 840
Mere 155 x 235 x 29

Kategorije

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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