Page 138 - Handbook Bachelor Degree of Science Academic Session 20202021

Faculty of Science Handbook, Academic Session 2020/2021

2. Box, G. E. P., Hunter, W. G., & Hunter, J. S. (2005).
nd
Statistics for experimenters (2 ed.). John Wiley.
3. Tabachnick, B. G., & Fidell, L. S. (2007). Experimental
designs using ANOVA. Duxbury.
4. Myers, R.H. (1990). Classical and modern regression
analysis with applications (2 ed.). Duxbury.
nd

SIT3013 ANALYSIS OF FAILURE AND SURVIVAL
DATA

Survival distributions, hazard models. Reliability of systems,
stochastic models. Censoring and life-tables. The product-
limit estimator. Parametric survival models under censoring.
Cox proportional hazards model and other basic models with
covariates.

Assessment:
Continuous Assessment: 40%
Final Examination: 60%

Medium of Instruction:
English

Soft Skills:
CS1, CTPS2

References:
1. Sherwin D.J., & Bossche A. (2012), The reliability,
availability and productiveness of systems.
Netherlands: Springer.
2. Peter J. Smith. (2002). Analysis of failure and survival
data. Chapman & Hall.
3. Tableman M., & Kim J.S. (2004). Survival analysis
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

Soft Skills:
CS3, CTPS3

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.
nd
3. Koch, K. (2007). Introduction to Bayesian statistics (2
ed.). Springer.
4. Cowles, M. K. (2013). Applied Bayesian statistics:
With R and OpenBUGS examples. Springer.

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