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Faculty of Science Handbook, Session 2017/2018



               Assessment:                                     SIT3014  INTRODUCTION TO BAYESIAN
               Continuous Assessment:       40%                         STATISTICS
               Final Examination:           60%
                                                               Bayes'  Theorem.  Bayesian  framework  and  terminology.
               Medium of Instruction:                          Bayesian  inference.  Prior  formulation.  Implementation  via
               English                                         posterior sampling. Bayesian decision theory. Application to
                                                               real-world problems.
               Humanity Skill:
               CS3, CT4, LL2                                   Assessment:
                                                               Continuous Assessment:       40%
               References:                                     Final Examination :          60%
               1.  Montgomery,   D.C.:   Design   and   Analysis   of
                   Experiments. 6th edition, John Wiley, 2004.  Medium of Instruction:
               2.  Box, G.E.P., Hunter, W.G. and Hunter,J.S.: Statistics  English
                   for Experimenters. 2nd edition, John Wiley, 2005.
               3.  Tabachnick,  B.G.,  Fidell,  L.S.:  Experimental  designs  Humanity Skill:
                   using anova, Duxbury, 2007.                 CS3, CT3, TS2, LL2
               4.  Myers,  R.H.:  Classical  and  Modern  Regression  References:
                   Analysis with Applications. 2nd edition, Duxbury, 1990  1.  Lee,  P.  M.  (1991).  Bayesian  statistics:  an
                                                                    introduction, Oxford University Press.
                                                                2.  Hoff,  P.  D.  (2009). A  first  course in  Bayesian
               SIT3013  ANALYSIS  OF  FAILURE  AND  SURVIVAL        statistical methods, Springer.
                        DATA                                    3.  Koch,  K.  (2007). Introduction  to  Bayesian  statistics,
                                                                    Second Edition, Springer.
               Survival  distributions,  hazard  models.  Reliability  of  4.  Cowles,  M.  K.  (2013). Applied Bayesian  statistics:
               systems, stochastic models. Censoring and life-tables. The  with R and OpenBUGS examples, Springer.
               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

               Humanity Skill:
               CS1, CT2, LL1
               References:
               1.  Sherwin D.J. and Bossche A. (2012), The Reliability,
                   Availability  and  Productiveness  of  Systems,  Springer
                   Netherlands.
               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,
                                           th
                   Practical Methods for Engineers, 8 Ed., Elsevier Ltd.



























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