Skip to search Skip to content
Logo University Library "Georgius Agricola" Logo University Library "Georgius Agricola"
  • Book Bag: 0 items(Your Book Bag is full)
  • My Account
  • Log Out
  • My Account
  • Deutsch
  • Selected is: Books & more
  • All
  • FID Montanportal
  • Home
  • Statistical features of persis...
Further processing options
available via Open Access

Statistical features of persistence and long memory in mortality data

Saved in:
Bibliographic Details
Published in: Annals of actuarial science
Authors and Corporations: Peters, Gareth (Author), Yan, Hongxuan (Author), Chan, Jennifer (Author)
Other Authors: Yan, Hongxuan [Author] • Chan, Jennifer [Author]
Type of Resource: E-Book Component Part
Language: English
published:
2021
Series: Annals of actuarial science, 15(2021), 2 vom: Juli, Seite 291-317
Subjects:
Hurst exponent
Long memory
Mortality projection
Persistence
Aufsatz in Zeitschrift
Source: Verbunddaten SWB
Lizenzfreie Online-Ressourcen
ISSN: 1748-5002
  • Holdings Click to load tab content.
  • Delivery services Click to load tab content.
  • Description Click to load tab content.
  • Context Click to load tab content.

Internet

https://doi.org/10.1017/S1748499521000129
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/2352DBA91D5F43625C88FD8DEB84A57A/S1748499521000129a.pdf/statistical-features-of-persistence-and-long-memory-in-mortality-data.pdf

  • Cite this
  • E-mail this
  • Export Record
    • Export to EndNote
    • Export to BibTeX
    • Export to RIS
  • Favorite
  • Add to Book Bag Remove from Book Bag
  • Permanent link

Suchoptionen

  • Advanced Search
  • Interactive Location Map
  • Search Tips
  • List of metadata sources"

Service offers

  • Course Reserves
  • New Items
  • Interlibrary loan
  • Suggestions for acquisition

Contact

  • University library website
  • Ask a Librarian
  • FAQs

Powered by VuFind software finc software
This is a dialog window which overlays the main content of the page. Pressing the Escape key or the Close Dialog Window button will close the modal and bring you back to where you were on the page.