Experimental Design and Statistical Methods (HMI504/IKP)FDA058, 2003VT
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Course plan
Lectures
Recommended for
The course was last given
Goals
Prerequisites
Graduate Student status or qualified undergraduate.
Organization
Contents
Topics include: Factorial experiments, Interactions (Two and three-way), Fixed, random and mixed designs, Simple effects tests, Pairwise comparisons and contrasts, Nested designs and Partially nested designs, Generation of expected mean squares, Quasi F-tests and pooling, Between-within designs, Probing techniques, Unequal n procedures, Latin Square designs, Simple and Multiple Regression, Correlation, Hypothesis testing, Partial Correlation, Analysis of Covariance. Non-parametric statistics. An overview of statistical methods not learnt in other courses: Factor analysis, cluster analysis, multidimensional scaling.
Literature
- Keppel, G. (1991). Design and Analysis. A Researcher's Handbook. Englewood
Cliffs, N.J.: Prentice-Hall.
- Siegel, S and Castellan, N.J. (1988). Nonparametric Statistics. McGraw-
Hill, New York.
- Copied articles.
Lecturers
Fang Chen, IKP/LiU, fanch@ikp.liu.se
Examiner
Fang Chen, IKP/LiU, fanch@ikp.liu.se
Examination
Homeworks, Two written tests.
Credit
5 credits
Comments
Page responsible: Director of Graduate Studies