Auto-tools/Projects/Alerts: Difference between revisions

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[[ File:Auto-tools_Projects_Alerts_Mtest_and_ttest.png|800px|none|Eideticker time series]]
[[ File:Auto-tools_Projects_Alerts_Mtest_and_ttest.png|800px|none|Eideticker time series]]


The blue circles are the Eideticker time series, red points are the t-test score, and the green line is the median test score.  The Eideticker data is a good example of some of the smallest regressions that can be detected.  The median score threshold is set to 2 (p-value < 0.01), and the t-test score threshold is set to 4 (p-value < 0.0001).  The median test detects (m-score > 2) three discontinuities: Two regressions and one improvement.  The all the high t-test scores (red) surrounding the detected regression are considered candidates, and the highest is of those is considered the beginning of the discontinuity.
The blue circles are the Eideticker time series, red points are the t-test score, and the green line is the median test score.  The Eideticker data is a good example of some of the smallest regressions that can be detected.  In this example, the median score threshold is set to 2 (p-value < 0.01), and the t-test score threshold is set to 4 (p-value < 0.0001).  First, the median test is used to detect (m-score > 2) three discontinuities: Two regressions and one improvement.  Second, all the high t-test scores (red) surrounding the detected regression are considered candidates, and the highest is of those is considered the beginning of the discontinuity.




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