Start Over Please hold this item Export MARC Display Return To Browse
 
     
Record: Previous Record Next Record
Author Frees, Edward W.
Title Regression modeling with actuarial and financial applications / Edward W. Frees.
Alternative Title Regression Modeling with Actuarial & Financial Applications
Publisher Cambridge : Cambridge University Press, 2010.


Click on the following to:
Go to eBook
Persistent link to this item
Click link and copy URL from browser navigation toolbar

Descript 1 online resource (xvii, 565 pages) : digital, PDF file(s).
Content text txt
Media computer c
Carrier online resource cr
Note Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Contents 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.
Note Unlimited number of concurrent users. UkHlHU
ISBN 9780511814372 (ebook)
9780521760119 (hardback)
9780521135962 (paperback)
 Click on the terms below to find similar items in the catalogue
Author Frees, Edward W.
Series International series on actuarial science
International series on actuarial science.
Subject Insurance -- Statistical methods.
Finance -- Statistical methods.
Regression analysis.
Alternative Title Regression Modeling with Actuarial & Financial Applications
Descript 1 online resource (xvii, 565 pages) : digital, PDF file(s).
Content text txt
Media computer c
Carrier online resource cr
Note Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Contents 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.
Note Unlimited number of concurrent users. UkHlHU
ISBN 9780511814372 (ebook)
9780521760119 (hardback)
9780521135962 (paperback)
Author Frees, Edward W.
Series International series on actuarial science
International series on actuarial science.
Subject Insurance -- Statistical methods.
Finance -- Statistical methods.
Regression analysis.
Alternative Title Regression Modeling with Actuarial & Financial Applications

Subject Insurance -- Statistical methods.
Finance -- Statistical methods.
Regression analysis.
Descript 1 online resource (xvii, 565 pages) : digital, PDF file(s).
Content text txt
Media computer c
Carrier online resource cr
Note Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Contents 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.
Note Unlimited number of concurrent users. UkHlHU
ISBN 9780511814372 (ebook)
9780521760119 (hardback)
9780521135962 (paperback)
Persistent link to this item
Click link and copy URL from browser navigation toolbar

Links and services for this item:

Persistent link to this item
Click link and copy URL from browser navigation toolbar