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~subject:"Hauptkomponentenanalyse"
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Hauptkomponentenanalyse
Theorie
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Theory
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Mortality
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Sterblichkeit
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Altersvorsorge
20
Forecasting model
20
Prognoseverfahren
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Life insurance
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Private retirement provision
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Versicherungsmathematik
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Großbritannien
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Public pension system
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Risiko
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Risk management
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United Kingdom
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Forecast
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Insurance
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Prognose
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Stochastic process
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Stochastischer Prozess
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Versicherung
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Principal component analysis
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Time series analysis
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Zeitreihenanalyse
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English
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Haberman, Steven
5
Shang, Han Lin
5
Xu, Ruofan
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ASTIN bulletin : the journal of the International Actuarial Association
1
Annals of actuarial science : publ. by the Institute of Actuaries and the Faculty of Actuaries
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Insurance / Mathematics & economics
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Insurance : mathematics and economics
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Journal of forecasting
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ECONIS (ZBW)
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Forecasting multiple functional time series in a group structure : an application to mortality
Shang, Han Lin
;
Haberman, Steven
- In:
ASTIN bulletin : the journal of the International …
50
(
2020
)
2
,
pp. 357-379
Persistent link: https://www.econbiz.de/10012243333
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2
Forecasting age distribution of death counts : an application to annuity pricing
Shang, Han Lin
;
Haberman, Steven
- In:
Annals of actuarial science : publ. by the Institute of …
14
(
2020
)
1
,
pp. 150-169
Persistent link: https://www.econbiz.de/10012194085
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3
Multi-population modelling and forecasting life-table death counts
Shang, Han Lin
;
Haberman, Steven
;
Xu, Ruofan
- In:
Insurance / Mathematics & economics
106
(
2022
),
pp. 239-253
Persistent link: https://www.econbiz.de/10013380527
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4
Weighted compositional functional data analysis for modeling and forecasting life-table death counts
Shang, Han Lin
;
Haberman, Steven
- In:
Journal of forecasting
43
(
2024
)
8
,
pp. 3051-3071
Persistent link: https://www.econbiz.de/10015110599
Saved in:
5
Forecasting age distribution of deaths : cumulative distribution function transformation
Shang, Han Lin
;
Haberman, Steven
- In:
Insurance : mathematics and economics
122
(
2025
),
pp. 249-261
Persistent link: https://www.econbiz.de/10015432087
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