Page 39 - Handbook PG 20182019

Faculty of Science Postgraduate Booklet, Session 2018/2019

Transferable Skills:
Ability to analyse real data using statistical software and to produce reports

Humanity Skill:
CS8, CT5, EM3

References:
1. Chambers, J. M. , Cleveland, W. S., Kleiner, B. and Turkey, P. A. (1983). Graphical methods
for data analysis. Wadsworth.
2. Gasser, T. and Rosenblatt, M. (1979). Smoothing techniques for curve estimation. Springer
Verlag.
3. Albright, S.C., Winston, W. and Zappe, C. (2010). Data Analysis and Decision Making. 4th Ed.,
Cencage.
4. Everitt, B. (1983). Advanced Methods of Data Analysis. Heinemann.

SQB7007 Multivariate Analysis

The use/application of multivariate analysis. Managing and handling multivariate data. Matrix
theory. Random vectors and matrices. The Multivariate normal and Wishart distributions. Selected
topics from graphical methods, regression analysis, correlation, principal components, factor
analysis, discriminant analysis and clustering methods.

Assessment Methods:
Continuous Assessment 50%
Final Examination 50%

Medium of Instruction:
English

Transferable Skills:
-

Humanity Skill:
CT5, TS5, LS4

References:
1. Johnson R.A & Wichern, D.W (2007). Applied multivariate statistical analysis. 6 Ed., Pearson
th
International Education.
nd
2. Anderson, T. W. (1984). An Introduction to multivariate statistical analysis. 2 edition. John
Wiley.
3. Arnold, S. F. (1981). The theory of linear models and multivariate statistical analysis. John
Wiley.
4. Chatfield, C. and Collins, A. J. (1980). Introduction to multivariate analysis. Chapman & Hall.
5. Konishi, S. (2014). Introduction to multivariate analysis-linear and nonlinear modelling.
Chapman & Hall.

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