Page 91 - Handbook Bachelor Degree of Science Academic Session 20212022

Faculty of Science Handbook, Academic Session 2021/2022

SIT3012 DESIGN AND ANALYSIS OF EXPERIMENTS
References:
1. Hyndman, R. J., & Athanasopoulos, G. (2018).
Forecasting: Principles and Practice. Website: Philosophy related to statistical designed experiments.
https://www.otexts.org/fpp. Completely randomized one-factor design. Randomized
2. Makridakis, S., Wheelwright, S.C., & Hyndman, R.J. block designs. Latin squares. Incomplete block designs.
Factorial designs. Confounding. Fractional factorial designs.
(1998). Forecasting Methods and Applications.
3. Montgomery, D. C., Jennings, C. L. & Kulahci, M. Assessment:
(2008). Introduction to Time Series Analysis and
Forecasting. Continuous Assessment: 40%
4. Brockwell, P.J. & Davis, R. A. (2002). Introduction to Final Examination: 60%
Time Series Analysis and Forecasting, 2nd edition. References:
Springer. 1. Montgomery, D.C. (2017). Design and Analysis of
5. Box, G.E.P., Jenkins, G.W., & Reinsel, G. (1994).
Time series analysis, forecasting and control, 3rd Experiments. Ninth Edition, Wiley.
edition. Prentice Hall. 2. Box, G.E.P., Hunter, J.S. and Hunter, W.G. (2005).
Statistics for Experimenters: Design, Innovation, and
SIT3008 INTRODUCTION TO SURVEY SAMPLING Discovery, Second Edition, Wiley-Interscience.
3. Tabachnick, B.G. and Fidell, L.S. (2007). Experimental
This course focuses on statistical sampling methods with Designs Using ANOVA, Duxbury.
applications in the analysis of sample survey data. The 4. Myers, R.H. (1990). Classical and Modern Regression
sampling methods include simple random sampling, Analysis with Applications. Second Edition, Duxbury.
stratified random sampling, systematic sampling and cluster
sampling. Estimation of population parameters for different
sampling methods will be fully discussed. Special estimation SIT3013 ANALYSIS OF FAILURE AND SURVIVAL
techniques including ratio and regression estimations will be DATA
introduced in the context of simple random sampling and
stratified random sampling. Areas of application may include Survival distributions, hazard models. Reliability of systems,
social science and official statistics. stochastic models. Censoring and life-tables. The product-
limit estimator. Parametric survival models under censoring.
Assessment: Cox proportional hazards model and other models with
Continuous Assessment: 40% covariates.
Final Examination: 60%
Assessment:
References: Continuous Assessment: 40%
1. Scheaffer, R., Mendenhall, L. W., Ott, R. L. & Gerow, Final Examination: 60%
K. G. (2012). Elementary Survey Sampling, 7th ed,
Cengage Learning. References:
2. Lohr, S. L. (2019). Sampling: Design and Analysis, 2nd 1. Smith, D.J. (2011). Reliability Maintainability and Risk,
ed, CRC Press. Practical Methods for Engineers, 8th Ed., Elsevier Ltd.
3. Thompson, S. K. (2012). Sampling, 3th ed, Wiley. 2. Moore, D.F. (2016). Applied Survival Analysis using R.
4. Cochran, W. (1977). Sampling Techniques, 3rd ed, Springer.
Wiley. 3. Lee, E.T. (2013). Statistical methods for survival data
analysis, John & Wiley
4. Collet, D. (2015). Modelling survival data in medical
SIT3009 STATISTICAL PROCESS CONTROL research. Chapman & Hall.
5. Karim, M.R., & Islam, M.A. (2019). Reliability and
Methods and philosophy of statistical process control. Survival Analysis. Springer Singapore.
Control charts for variables and attributes. Time-weighted
control charts. Process capability analysis. Multivariate
control charts. Acceptance sampling plans. SIT3015 INTRODUCTION TO MULTIVARIATE
ANALYSIS
Assessment: Matrix algebra and random vectors. Multivariate normal
Continuous Assessment: 40% distribution. Wishart distribution and Hotelling distribution.
Final Examination: 60% Multivariate linear regression, canonical correlation analysis.
Dimensional reduction methods: principal component
References: analysis, and linear discriminant analysis. Clustering
1. Montgomery, D. C. (2019). Introduction to Statistical methods for unsupervised learning. Application of linear
Quality Control, 8th ed., Wiley. discriminant analysis, classification and regression trees for
2. Grant, E. L. & Leavenworth, R. S. (1999). Statistical supervised learning.
Quality Control, 6th ed., McGraw Hill.
3. Kenett, R. S. and Zacks, S. (1998). Modern Industrial Assessment:
Statistics: Design and control of quality and reliability, Continuous Assessment: 40%
Duxbury Press. Final Examination: 60%

References:
1. Johnson, R.A. & Wichern, D.W. (2015). Applied
Multivariate Statistical Analysis (6th ed). India:
Pearson.
2. Everitt, B. & Hothorn, T. (2011). An Introduction to
Applied Multivariate Analysis with R. New York:
Springer.
3. Anderson, T.W. (2003). An Introduction to Multivariate
Statistical Analysis (3rd ed.). Hoboken, NJ: Wiley-
Interscience.
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