Timeline for Confidence Interval For Frequency of Peak in Averaged Periodogram?
Current License: CC BY-SA 3.0
9 events
when toggle format | what | by | license | comment | |
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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
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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 |