Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by Crossref.
Renshaw, A.E.
and
Haberman, S.
1995.
On the graduations associated with a multiple state model for permanent health insurance.
Insurance: Mathematics and Economics,
Vol. 17,
Issue. 1,
p.
1.
Nelder, J.A.
and
Verrall, R.J.
1997.
Credibility Theory and Generalized Linear Models.
ASTIN Bulletin,
Vol. 27,
Issue. 1,
p.
71.
Renshaw, A.E.
and
Haberman, S.
2000.
Modelling the recent time trends in UK permanent health insurance recovery, mortality and claim inception transition intensities.
Insurance: Mathematics and Economics,
Vol. 27,
Issue. 3,
p.
365.
Renshaw, A.E.
and
Haberman, S.
2003.
Lee–Carter mortality forecasting with age-specific enhancement.
Insurance: Mathematics and Economics,
Vol. 33,
Issue. 2,
p.
255.
Renshaw, A.E.
and
Haberman, S.
2003.
On the forecasting of mortality reduction factors.
Insurance: Mathematics and Economics,
Vol. 32,
Issue. 3,
p.
379.
Renshaw, Arthur
and
Haberman, Steven
2003.
Lee–Carter Mortality Forecasting: A Parallel Generalized Linear Modelling Approach for England and Wales Mortality Projections.
Journal of the Royal Statistical Society Series C: Applied Statistics,
Vol. 52,
Issue. 1,
p.
119.
Miller, Robert B.
2004.
Encyclopedia of Actuarial Science.
Butt, Zoltan
and
Haberman, Steven
2004.
Application of Frailty-Based Mortality Models Using Generalized Linear Models.
ASTIN Bulletin,
Vol. 34,
Issue. 1,
p.
175.
Butt, Zoltan
and
Haberman, Steven
2004.
Application of Frailty-Based Mortality Models Using Generalized Linear Models.
ASTIN Bulletin,
Vol. 34,
Issue. 1,
p.
175.
Booth, Heather
2006.
Demographic forecasting: 1980 to 2005 in review.
International Journal of Forecasting,
Vol. 22,
Issue. 3,
p.
547.
Planchet, Frédéric
Faucillon, Laurent
and
Juillard, Marc
2006.
Quantification du risque systématique
de mortalité pour un régime de rentes
en cours de service.
Assurances et gestion des risques,
Vol. 74,
Issue. 3,
p.
377.
Debón, A.
Montes, F.
and
Sala, R.
2006.
A comparison of models for dynamic life tables. Application to mortality data from the Valencia Region (Spain).
Lifetime Data Analysis,
Vol. 12,
Issue. 2,
p.
223.
Richards, S. J.
Kirkby, J. G.
and
Currie, I. D.
2006.
The Importance of Year of Birth in Two-Dimensional Mortality Data.
British Actuarial Journal,
Vol. 12,
Issue. 1,
p.
5.
Richards, S. J.
Ellam, J. R.
Hubbard, J.
Lu, J. L. C.
Makin, S. J.
and
Miller, K. A.
2007.
Two-Dimensional Mortality Data: Patterns and Projections.
British Actuarial Journal,
Vol. 13,
Issue. 3,
p.
479.
Renshaw, A.E.
and
Haberman, S.
2008.
On simulation-based approaches to risk measurement in mortality with specific reference to Poisson Lee–Carter modelling.
Insurance: Mathematics and Economics,
Vol. 42,
Issue. 2,
p.
797.
Debón, A.
Montes, F.
Mateu, J.
Porcu, E.
and
Bevilacqua, M.
2008.
Modelling residuals dependence in dynamic life tables: A geostatistical approach.
Computational Statistics & Data Analysis,
Vol. 52,
Issue. 6,
p.
3128.
Booth, H.
and
Tickle, L.
2008.
Mortality Modelling and Forecasting: a Review of Methods.
Annals of Actuarial Science,
Vol. 3,
Issue. 1-2,
p.
3.
Hatzopoulos, P.
and
Haberman, S.
2009.
A parameterized approach to modeling and forecasting mortality.
Insurance: Mathematics and Economics,
Vol. 44,
Issue. 1,
p.
103.
Debón, A.
Martínez-Ruiz, F.
and
Montes, F.
2010.
A geostatistical approach for dynamic life tables: The effect of mortality on remaining lifetime and annuities.
Insurance: Mathematics and Economics,
Vol. 47,
Issue. 3,
p.
327.
Martínez-Ruiz, F.
Mateu, J.
Montes, F.
and
Porcu, E.
2010.
Mortality risk assessment through stationary space–time covariance functions.
Stochastic Environmental Research and Risk Assessment,
Vol. 24,
Issue. 4,
p.
519.