Jack-knifing in small samples of survival data: when bias meets variance to increase estimate precision
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F21%3A00057514" target="_blank" >RIV/61384399:31140/21:00057514 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9565181" target="_blank" >https://ieeexplore.ieee.org/document/9565181</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICCMA53594.2021.00030" target="_blank" >10.1109/ICCMA53594.2021.00030</a>
Alternative languages
Result language
angličtina
Original language name
Jack-knifing in small samples of survival data: when bias meets variance to increase estimate precision
Original language description
Main topics of the document: survival rate; survival function; jack-knife; confidence interval; variance-bias tradeoff; small samples
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10101 - Pure mathematics
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2021 International Conference on Computing, Computational Modelling and Applications (ICCMA)
ISBN
978-1-6654-2568-1
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
138-144
Publisher name
IEEEXplore
Place of publication
Brest
Event location
Brest
Event date
Jul 14, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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