Auto-tools/Projects/Alerts: Difference between revisions

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====Future Plans====
====Future Plans====
Significant improvements can be made to the analysis:
The use of window functions is flawed:  There are edge effects, small window sizes sometimes do not capture enough samples to characterize the variance, large window sizes are less sensitive and make short-term regressions invisible.  Significant improvements can be made to the analysis by removing the need to declare a window size:
# Piece-wise linear regression analysis (http://en.wikipedia.org/wiki/Segmented_regression)
# Piece-wise linear regression analysis (http://en.wikipedia.org/wiki/Segmented_regression)
# Using a mixture model (http://en.wikipedia.org/wiki/Mixture_model) will help characterize multi-modal data and help us construct a useful aggregate
# Using a mixture model (http://en.wikipedia.org/wiki/Mixture_model) will help characterize multi-modal data and help us construct a useful aggregate
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