Modern statistical methods I - MB170P108
|
|
|
||
Introduction to experimental design. Understanding data: basic statistic and graphical analysis. Regression. Analysis of variance. Analysis of covariance. Generalized linear models. Statistical modelling. Model simplification. Model criticism. Analysing count data: Poisson errors. Analysing proportion data: binomial errors. Binary response variables. Gamma errors. Survival analysis.
The lectures can be given in English. Last update: Albrecht Tomáš, prof. Mgr., Ph.D. (30.09.2013)
|
|
||
COX D. R. & SNELL E. J. 1990: Analysis of Binary Data. Chapman and Hall, London, 286 pp.
CRAWLEY, J.M. 1993: Glim for Ecologists. Blackwell, Oxford.
MCCULLAGH P. & NELDER J.A. 1989: Generalized Linear Models. Chapman and Hall, London.
SOKAL, R. & ROHLF, F.J. 1994: Biometry. 3rd ed. Freeman, San Francisco.
Crawley, J.M. 2002: Statistical Computing. An Introduction to Data Analysis using S-Plus. Wiley, Chichester.
Last update: Albrecht Tomáš, prof. Mgr., Ph.D. (17.09.2020)
|
|
||
Pasivní písemný test Last update: Albrecht Tomáš, prof. Mgr., Ph.D. (17.09.2020)
|
|
||
1. An ecological example 2. The S-Plus language 3. Introduction to experimental design 4. Understanding data: graphical analysis 5. Understanding data: basic statistics 6. Regression 7. Analysis of variance 8. Analysis of covariance 9. Generalized linear models Last update: VSACH (13.04.2005)
|