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Englisch
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Beschreibung
Modern mortality modelling for actuaries and actuarial students, with example R code, to unlock the potential of individual data.
Modern mortality modelling for actuaries and actuarial students, with example R code, to unlock the potential of individual data.
Über den Autor
Angus S. Macdonald is Professor of Actuarial Mathematics at Heriot-Watt University, Edinburgh. He is an actuary with much experience of modeling mortality and other life histories, particularly in connection with genetics, and as a member of Continuous Mortality Investigation committees.
Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: | 2019 |
---|---|
Fachbereich: | Kommunikationswissenschaften |
Genre: | Medienwissenschaften |
Rubrik: | Wissenschaften |
Medium: | Buch |
Inhalt: | Gebunden |
ISBN-13: | 9781107045415 |
ISBN-10: | 110704541X |
Sprache: | Englisch |
Ausstattung / Beilage: | HC gerader Rücken kaschiert |
Einband: | Gebunden |
Autor: |
Macdonald, Angus S.
Richards, Stephen J. Currie, Iain D. |
Hersteller: | Cambridge University Press |
Maße: | 235 x 157 x 25 mm |
Von/Mit: | Angus S. Macdonald (u. a.) |
Erscheinungsdatum: | 08.03.2019 |
Gewicht: | 0,708 kg |
Über den Autor
Angus S. Macdonald is Professor of Actuarial Mathematics at Heriot-Watt University, Edinburgh. He is an actuary with much experience of modeling mortality and other life histories, particularly in connection with genetics, and as a member of Continuous Mortality Investigation committees.
Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: | 2019 |
---|---|
Fachbereich: | Kommunikationswissenschaften |
Genre: | Medienwissenschaften |
Rubrik: | Wissenschaften |
Medium: | Buch |
Inhalt: | Gebunden |
ISBN-13: | 9781107045415 |
ISBN-10: | 110704541X |
Sprache: | Englisch |
Ausstattung / Beilage: | HC gerader Rücken kaschiert |
Einband: | Gebunden |
Autor: |
Macdonald, Angus S.
Richards, Stephen J. Currie, Iain D. |
Hersteller: | Cambridge University Press |
Maße: | 235 x 157 x 25 mm |
Von/Mit: | Angus S. Macdonald (u. a.) |
Erscheinungsdatum: | 08.03.2019 |
Gewicht: | 0,708 kg |
Warnhinweis