Regression Modeling with Actuarial and Financial Applications: International Series on Actuarial Science
Autor Edward W. Freesen Limba Engleză Paperback – 29 noi 2009
Toate formatele și edițiile | Preț | Express |
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Paperback (1) | 477.34 lei 43-57 zile | |
Cambridge University Press – 29 noi 2009 | 477.34 lei 43-57 zile | |
Hardback (1) | 1049.84 lei 43-57 zile | |
Cambridge University Press – 29 noi 2009 | 1049.84 lei 43-57 zile |
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Specificații
ISBN-13: 9780521135962
ISBN-10: 0521135966
Pagini: 584
Ilustrații: 139 b/w illus. 142 tables 89 exercises
Dimensiuni: 174 x 248 x 30 mm
Greutate: 0.95 kg
Ediția:New.
Editura: Cambridge University Press
Colecția Cambridge University Press
Seria International Series on Actuarial Science
Locul publicării:New York, United States
ISBN-10: 0521135966
Pagini: 584
Ilustrații: 139 b/w illus. 142 tables 89 exercises
Dimensiuni: 174 x 248 x 30 mm
Greutate: 0.95 kg
Ediția:New.
Editura: Cambridge University Press
Colecția Cambridge University Press
Seria International Series on Actuarial Science
Locul publicării:New York, United States
Cuprins
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.
Recenzii
'It would be an ideal text for a semester - or a year-long course in applied statistical methods for actuarial science majors. But it would also be a welcome addition to the bookshelf of pracitcing actuaries at all levels, both actuarial students charged with conducting analyses for which the methods discussed in the book are most relevant, and senior managers who use such analysis as a basis for financial decision making … Perhaps my favorite part of Fee's book is the final two chapters, on Report Writing and Designing Effective Graphs. If these fine essays do not already appear somewhere on the Society of Actuaries syllabus, they should be added immediately.' Ronald C. Neath, The American Statistician
Notă biografică
Descriere
This book teaches multiple regression and time series and how to use these to analyze real data in risk management and finance.