Rank Estimators for Robust Regression: Approximate Algorithms, Exact Algorithms and Two-Stage Methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F20%3A00055644" target="_blank" >RIV/61384399:31140/20:00055644 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-62509-2_14" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-62509-2_14</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-62509-2_14" target="_blank" >10.1007/978-3-030-62509-2_14</a>
Alternative languages
Result language
angličtina
Original language name
Rank Estimators for Robust Regression: Approximate Algorithms, Exact Algorithms and Two-Stage Methods
Original language description
Main topics of the document: rank estimator; robust regression; computational statistics; arrangement of hyperplanes
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
<a href="/en/project/GA19-02773S" target="_blank" >GA19-02773S: Streaming financial data and related identification and optimization problems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Integrated Uncertainty in Knowledge Modelling and Decision Making
ISBN
978-3-030-62508-5
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
12
Pages from-to
162-173
Publisher name
Springer Nature Switzerland
Place of publication
Cham
Event location
Phuket
Event date
Nov 11, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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