Modelling Mortality with Actuarial Applications
(Sprache: Englisch)
Modern mortality modelling for actuaries and actuarial students, with example R code, to unlock the potential of individual data.
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Klappentext zu „Modelling Mortality with Actuarial Applications “
Modern mortality modelling for actuaries and actuarial students, with example R code, to unlock the potential of individual data.
Inhaltsverzeichnis zu „Modelling Mortality with Actuarial Applications “
Preface; Part I. Analysing Portfolio Mortality: 1. Introduction; 2. Data preparation; 3. The basic mathematical model; 4. Statistical inference with mortality data; 5. Fitting a parametric survival model; 6. Model comparison and tests of fit; 7. Modelling features of the portfolio; 8. Non-parametric methods; 9. Regulation; Part II. Regression and Projection Models: 10. Methods of graduation I - regression models; 11. Methods of graduation II - smooth models; 12. Methods of graduation III - 2-dimensional models; 13. Methods of graduation IV - forecasting; Part III. Multiple-State Models: 14. Markov multiple-state models; 15. Inference in the Markov model; 16. Competing risks models; 17. Counting-process models; Appendix A. R commands; Appendix B. Basic likelihood theory; Appendix C. Conversion to published tables; Appendix D. Numerical integration; Appendix E. Mean and variance-covariance of a vector; Appendix F. Differentiation with respect to a vector; Appendix G. Kronecker product of two matrices; Appendix H. R functions and programs; References; Author index; Index.
Bibliographische Angaben
- Autoren: Angus S. Macdonald , Stephen J. Richards , Iain D. Currie
- 386 Seiten, Maße: 15,7 x 23,5 cm, Gebunden, Englisch
- Verlag: Cambridge University Press
- ISBN-10: 110704541X
- ISBN-13: 9781107045415
- Erscheinungsdatum: 08.03.2019
Sprache:
Englisch
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