Hi Anderson,
Thank you very much for your explanations. I am beginning to understanding this part. Could you please let me know the following:
1. p.19 "Tools of classical inference": What is t8 in the histogram? Is 8 the degrees of freedom? If so, why the dof = 8 here?
2. p.19: what is "e ~ N(0,sigma&2)? I assume sigma^2 is the variance?
3. p.27 "What happens when we apply this to imaging data?": What is "voxel ~N" in "z-map where each voxel ~N"?
4. p.76 "How do we choose the (arbitrary!) z-threshold?": What are the RFT assumptions in Item 1?
5. p.80 "Qualitative example": What are the advantages for enhancing the signal? Why do we do that?
6. p.81 "TFCE for FSL-VBM": What are you trying to show in this slide?
7. p.82 "TFCE for TBSS": What are you trying to show here? What is the 2 in red and 3 in green?
8. p.85 "Example: VBM-style analysis": At the bottom right, there is an unhappy face with "~N?" on top. Could you please let me know what you are trying to show here?
9. p.85: What the figure (lines connecting two columns of mixed blue circles and red triangles) on the bottom left means?
10. p.89 "Oh dear! What now?": How did you get the values 978 and 5000? What is "C.f."?
Thank you.
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