Learning outcomes

When several variables are measured on each experimental unit, the result is multivariate statistical data. In this course, students should learn to recognise the most typical situations involving multivariate analysis and to make the most common analyses. Matrix calculus is used as a mathematical tool. Some suitable computer software is introduced for exercises and demonstrations.

Contents

See objectives.

Teaching language

Finnish

Evaluation

Numeric 1-5.

Recommended year of study

2. year spring
3. year autumn
3. year spring

Study materials

1. Johnson, R. A., Wichern, D. W., Applied multivariate statistical analysis. Prentice-Hall 2002.
2. Srivastava, M. S., Carter, E. M., An Introduction to Applied Multivariate Statistics. North Holland 1983.
3. Morrison, D. F., Multivariate Statistical Methods. Mc-Graw Hill 1990.
4. Maxwell, A. E., Multivariate Analysis in Behavioral Research. Chapman&Hall 1979.
5. Mardia, K. V., Kent, J. T., Bibby, J. M., Multivariate Analysis. Academic Press 1979.
6. Manninen, P., Johdatus tilastollisiin monimuuttujamenetelmiin. Tampere 1971.
7. Mustonen, S., Tilastolliset Monimuuttujamenetelmät. Helsingin yliopisto 1995.
   
8. Sharma, S., Applied Multivariate Techniques. Wiley 1996.

Belongs to following study modules