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Regression Modeling with Actuarial and Financial Applications Book

Regression Modeling with Actuarial and Financial Applications
Regression Modeling with Actuarial and Financial Applications, Statistical techniques can be used to address new situations. This is important in a rapidly evolving risk management and financial world. Analysts with a strong statistical background understand that a large data set can represent a treasure trove of inf, Regression Modeling with Actuarial and Financial Applications has a rating of 3 stars
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Regression Modeling with Actuarial and Financial Applications, Statistical techniques can be used to address new situations. This is important in a rapidly evolving risk management and financial world. Analysts with a strong statistical background understand that a large data set can represent a treasure trove of inf, Regression Modeling with Actuarial and Financial Applications
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  • Regression Modeling with Actuarial and Financial Applications
  • Written by author Edward W. Frees
  • Published by Cambridge University Press, December 2009
  • Statistical techniques can be used to address new situations. This is important in a rapidly evolving risk management and financial world. Analysts with a strong statistical background understand that a large data set can represent a treasure trove of inf
  • Teaches multiple regression and time series and how to use these to analyze real data in risk management and finance.
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Authors

1. Regression and the normal distribution;
Part I. Linear Regression:
2. Basic linear regression;
3. Multiple linear regression - I;
4. Multiple linear regression - II;
5. Variable selection;
6. Interpreting regression results;
Part II. Topics in Time Series:
7. Modeling trends;
8. Autocorrelations and autoregressive models;
9. Forecasting and time series models;
10. Longitudinal and panel data models;
Part III. Topics in Nonlinear Regression:
11. Categorical dependent variables;
12. Count dependent variables;
13. Generalized linear models;
14. Survival models;
15. Miscellaneous regression topics;
Part IV. Actuarial Applications:
16. Frequency-severity models;
17. Fat-tailed regression models;
18. Credibility and bonus-malus;
19. Claims triangles;
20. Report writing: communicating data analysis results;
21. Designing effective graphs; Appendix 1: basic statistical inference; Appendix 2: matrix algebra; Appendix 3: probability tables.

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