Page 62 - handbook 20162017

Faculty of Science Handbook, Session 2016/2017

Medium of Instruction: 4. Cowles, M. K. (2013). Applied Bayesian statistics:
English with R and OpenBUGS examples, Springer.
Humanity Skill:
CT4, TS1, LL2 SIT3015 JAVA METHODS FOR STATISTICS AND
ACTUARIAL SCIENCE
References:
1. Montgomery, D.C.: Design and Analysis of JAVA programming language: Object, class and method.
Experiments. 6th edition, John Wiley, 2004. Sample java programs which make use of Java methods to
2. Box, G.E.P., Hunter, W.G. and Hunter,J.S.: Statistics
for Experimenters. 2nd edition, John Wiley, 2005. 1. Perform data manipulation, matrix operations and
3. Tabachnick, B.G., Fidell, L.S.: Experimental designs nonlinear optimization.
using anova, Duxbury, 2007. 2. Perform computation and simulations in Brownian
motion models, Levy processes, CIR model and other
4. Myers, R.H.: Classical and Modern Regression models.
Analysis with Applications. 2nd edition, Duxbury, 1990 3. Find the premiums of investment-linked insurance
policies.
4. Find approximately aggregate claims distribution and
SIT3013 ANALYSIS OF FAILURE AND SURVIVAL ruin probabilities.
DATA 5. Find provision of risk margin for adverse deviation
(PRAD) of claim liabilities for general insurance
Survival distributions, hazard models. Reliability of business.
systems, stochastic models. Censoring and life-tables. The
product-limit estimator. Parametric survival models under Assessment:
censoring. Cox proportional hazards model and other basic Continuous Assessment: 40%
models with covariates. Final Examination: 60%
Assessment: Medium of Instruction:
Continuous Assessment: 40% English
Final Examination: 60%
Humanity Skill:
Medium of Instruction: CS2, CT2, LL1
English
References:
Humanity Skill: 1. Philip Barker (2007), Java Methods for Financial
CS1, CT2, LL1 Engineering, Applications in Finance and Investment,
Springer-Verlag London Limited.
References: 2. Everitt, B. S. Introduction to Optimization Methods and
1. Sherwin D.J. and Bossche A. (2012), The Reliability, Their Application in Statistics, Chapman and Hall.
Availability and Productiveness of Systems, Springer 3. Deitel, H. M. & Deitel, P. J. (1995), Java How to
Netherlands. Program, Prentice-Hall.
2. Peter J. Smith (2002). Analysis of Failure and Survival 4. Hurbbard, John R. (2004), Programming with JAVA
Data. Chapman & Hall. (Schaum's Outline Series), McGraw- Hill International
3. Tableman M. & Kim J.S. (2004). Survival Analysis Editions.
using S - Analysis of Time-to-Event Data. Chapman &
Hall.
4. Smith D.J. (2011) Reliability Maintainability and Risk,
Practical Methods for Engineers, 8 Ed., Elsevier Ltd.
th
SIT3014 INTRODUCTION TO BAYESIAN
STATISTICS
Bayes' Theorem. Bayesian framework and terminology.
Bayesian inference. Prior formulation. Implementation via
posterior sampling. Bayesian decision theory. Application to
real-world problems.

Assessment:
Continuous Assessment: 40%
Final Examination : 60%
Medium of Instruction:
English

Humanity Skill:
CS3, CT3, TS2, LL2
References:
1. Lee, P. M. (1991). Bayesian statistics: an
introduction. Oxford University Press.
2. Hoff, P. D. (2009). A first course in Bayesian
statistical methods. Springer.
3. Koch, K. (2007). Introduction to Bayesian statistics,
Second Edition, Springer.

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