Mortality forecasting - Which ARIMA model to choose for vector Kt projection in Lee-Carter model?
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F23%3A00059037" target="_blank" >RIV/61384399:31140/23:00059037 - isvavai.cz</a>
Result on the web
<a href="https://uni.uhk.cz/hed/site/assets/files/1084/proceedings_2023_1.pdf" target="_blank" >https://uni.uhk.cz/hed/site/assets/files/1084/proceedings_2023_1.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.36689/uhk/hed/2023-01-065" target="_blank" >10.36689/uhk/hed/2023-01-065</a>
Alternative languages
Result language
angličtina
Original language name
Mortality forecasting - Which ARIMA model to choose for vector Kt projection in Lee-Carter model?
Original language description
Main topics of the document: forecast; Lee-Carter model; mortality rates
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
50402 - Demography
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Hradec Economic Days (HED 2023)
ISBN
978-80-7435-901-9
ISSN
2464-6067
e-ISSN
2464-6067
Number of pages
13
Pages from-to
690-702
Publisher name
University of Hradec Králové
Place of publication
Hradec Králové
Event location
Hradec Králové
Event date
Apr 13, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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