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Mar 6, 2017 at 17:09 vote accept user13999
Mar 5, 2017 at 9:35 answer added A_A timeline score: 1
Mar 4, 2017 at 16:45 comment added user13999 @A_A From the biology there is a frequency range that is of interest but so far I was just using G-test to say whether any bin shows power that is significant relative to white noise (analogous to lag thresholds in ACF and PACF above white noise). From data it is clear that my control condition shows significant peak at bins in expected frequency range but my experimental condition cells generally seem not to. If there's a good way to also test control condition averaged periodogram directly against experimental condition averaged periodogram that would be of interest too.
Mar 4, 2017 at 16:18 comment added A_A Thank you very much. Last question: Have you generated your expected values for the G test or is there a model?
Mar 4, 2017 at 15:48 comment added user13999 @A_A I have added detail in the post about the data I am working with and what I am trying to get out of the averaged periodogram (statistically significant frequencies and an interval estimate for these frequencies since their neighboring frequency bins also show some increased power in them too).
Mar 4, 2017 at 15:44 history edited user13999 CC BY-SA 3.0
clarified what I am asking regarding doing statistical testing of periodogram
Mar 4, 2017 at 14:27 comment added A_A Can I please ask you to clarify the question a little bit? Specifically, the G-Test doesn't make much sense in this case. I started writing a response but it ended up being a justification of why not to use the G-Test and I am not sure how much this is correct in this case without knowing more about your application and specific data processing you have opted for (is there a paper for example)? If one assumes real time series, the G-Test doesn't make sense. There has to be quantisation in there somewhere.
Mar 2, 2017 at 14:27 review First posts
Mar 2, 2017 at 14:43
Mar 2, 2017 at 14:25 history asked user13999 CC BY-SA 3.0