Page 65 - index
P. 65


â—„Faculty of Economics and Administrationâ–ş



Main Reference (1) McNeil D, Epidemiological Research Methods. Wiley,
1996.
(2) Hosmer D. W. and Lemeshow S, Applied Logistic
nd
Regression. Wiley, 2 Edition, 2000.
(3) Hosmer D. W. And Lemeshow S, Applied Survival
Analysis: Regression Modeling of Time to Event Data.
Wiley, 1999.
(4) Cox DR, Analysis of Binary Data. Chapman and Hall,
1994.
(5) Johnson RE and Johnson NL, Survival Models and
Data Analysis. Wiley, 1999.
th
(6) Rosner B, Fundamentals of Biostatistics. Duxbury, 5
Edition, 2000.
(7) Pagano M and Gauvreau K., Principles of Statistics.
nd
Duxbury, 2 Edition, 2000.
(8) Venables W. N. and Ripley B. D., Modern Applied
th
Statistics with S. Springer-Verlag New York, 4
Edition, 2002.


ESGC6317 ACTUARIAL STATISTICS

Learning Outcomes At the end of the course, students are able to:

(1) Apply actuarial techniques relevant to life and non-life
insurance;
(2) Apply key concepts in financial mathematics;
(3) Analyse the results of survival models and
mathematics of life insurance;
(4) Evaluate the results arising from the application of
these methods; and
(5) Communicate the findings effectively.

Synopsis of Course This course introduces the measurement of interest,
Contents including accumulated value factors and present value
factors. Students will be exposed to the analysis of
annuities, valuation of securities and cumulative sinking
funds. Measurement of mortality and life tables will also be
covered. Multiple-decrement tables, life annuities and office
premiums will be discussed. Policy, surrender and paid-up
values will also be taught.

Assessment Continuous Assessment: 50%
Final Examination: 50%

Main Reference (1) Kellison, S.G. (1991). Theory of Interest. (2nd ed.).
McGraw- Hill / Irwin.
(2) Bowers, N.L., Gerber, H.U., Hickman, J.C., Jones,
D.A., and Nesbitt, C.J. (1997). Actuarial Mathematics.
(2nd ed.). Society of Actuaries.
(3) Wai-Sum Chan and Yiu-Kuen Tse(2007), Financial
and Actuarial Mathematics, McGraw- Hill.







65
   60   61   62   63   64   65   66   67   68   69   70