Variance Components

Human Brain Function: Second Edition

Volumn , Issue , 2003, Pages 781-791

  Glaser, D ^b   Friston, Karl ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84904075580     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-012264841-0/50041-X     Document Type: Chapter

References (8)

1. Box G.E.P. Some theorems on quadratic forms applied in the study of analysis of variance problems. Ann. Math. Statistics 1954, 25:290-302.
2. Friston K.J., Josephs O., Zarahn E., Holmes A.P., Rouquette S., Poline J. To smooth or not to smooth? Bias and efficiency in fMRI time-series analysis. NeuroImage 2000, 12(2):196-208.
3. Friston K.J., Glaser D.E., Henson R.N., Kiebel S., Phillips C., Ashburner J. Classical and Bayesian inference in neuroimaging: applications. NeuroImage 2002, 6(2):484-512.
4. Keselman H.J., Algina J., Kowalchuk R.K. The analysis of repeated measures designs: a review. Br. J. Math. Stat. Psychol. 2001, 54:1-20. (Pt 1).
5. Kiebel S.J., Glaser D.E., Friston K.J. A heuristic for the degrees of freedom of statistics based on multiple hyperparameters 2003.
6. Winer B.J., et al. Statistical Principles in Experimental Design 1991, McGraw-Hill, Berlin.
7. Worsley K.J., Friston K.J. Analysis of fMRI time-series revisited-again. NeuroImage 1995, 2:173-181.
8. Worsley K.J., Liao C.H., Aston J., Petro V., Duncan G.H., Morales F., Evans A.C. A general statistical analysis for fMRI data. NeuroImage 2002, 15:1-15.