Regression modeling with actuarial and financial applications /
[Book]
Edward W. Frees.
New York :
Cambridge University Press,
2010.
1 online resource (xvii, 565 pages) :
illustrations
International series on actuarial science
Includes bibliographical references and index.
1. Regression and the Normal Distribution -- pt. I. Linear Regression -- 2. Basic Linear Regression -- 3. Multiple Linear Regression -- I -- 4. Multiple Linear Regression -- II -- 5. Variable Selection -- 6. Interpreting Regression Results -- pt. 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 -- pt. III. Topics in Nonlinear Regression -- 11. Categorical Dependent Variables -- 12. Count Dependent Variables -- 13. Generalized Linear Models -- 14. Survival Models -- 15. Miscellaneous Regression Topics -- pt. 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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This title gives actuarial and finance students a foundation in multiple regression and time series, and discusses advanced statistical topics that are relevant to actuarial and financial practice.
MIL
248689
Regression modeling with actuarial and financial applications.
9780521760119
Finance-- Statistical methods.
Insurance-- Statistical methods.
Regression analysis.
Finance-- Statistical methods.
Finanzmathematik
Finanzmathematik-- Regression (Math.)
Finanzmathematik.
Insurance-- Statistical methods.
MATHEMATICS-- Probability & Statistics-- Regression Analysis.