Not sure I buy this, but an attempt, and then depends so much on WHAT is being done, expected:
Charting the path to the next normal
A daily chart that helps explain a changing world—as we strive for sustainable, inclusive growth ... '
Showing posts with label normal. Show all posts
Showing posts with label normal. Show all posts
Wednesday, November 02, 2022
Sunday, December 02, 2018
Data Non Normal
A challenge we often encountered, good examples of how to address it in this article What if your Data is not Normal? in Towards Data Science
I Add: A lot of hand things we usually assume will not work when our data is not normally distributed. So its important to know. This piece does a good job of surveying the assumptions and alternatives. I like in particular the list of methods you can no longer be sure of. The list contains many approaches that are 'understood' by management and decision makers.
But I will add something that was not covered. If you can't use the common assumption normality , it will typically be harder to convince decision makers that your methods are correct. So preparation for that will also be needed. Depending how the management has been trained, also the measures and risk involved with the decision being made. This may also point to formal tests for normality to be included in analytical process. "
I Add: A lot of hand things we usually assume will not work when our data is not normally distributed. So its important to know. This piece does a good job of surveying the assumptions and alternatives. I like in particular the list of methods you can no longer be sure of. The list contains many approaches that are 'understood' by management and decision makers.
But I will add something that was not covered. If you can't use the common assumption normality , it will typically be harder to convince decision makers that your methods are correct. So preparation for that will also be needed. Depending how the management has been trained, also the measures and risk involved with the decision being made. This may also point to formal tests for normality to be included in analytical process. "
Wednesday, March 21, 2018
Defining Normal
Useful idea. The example shows a very specific context at what space or times scales?
Researchers at Bethel University are studying how to teach computers to define "normal" data and then detect anomalies.
The team used mathematical models and real-world data to determine ways to detect needle-in-the-haystack anomalies and report them in real time, using far less computational power than conventional systems.
Their algorithm is based on recognizing a sudden increase of distance between vectors in a high-dimensional vector space.
The researchers tested the algorithm by installing a webcam in an office window to pick up a feed of outdoor foot traffic. Each quadrant in the field has its own anomaly detector attached to it, and if something enters into that box previously unseen by the system, an alert is sent, says Bethel's Brian Turnquist. ... "
Researchers at Bethel University are studying how to teach computers to define "normal" data and then detect anomalies.
The team used mathematical models and real-world data to determine ways to detect needle-in-the-haystack anomalies and report them in real time, using far less computational power than conventional systems.
Their algorithm is based on recognizing a sudden increase of distance between vectors in a high-dimensional vector space.
The researchers tested the algorithm by installing a webcam in an office window to pick up a feed of outdoor foot traffic. Each quadrant in the field has its own anomaly detector attached to it, and if something enters into that box previously unseen by the system, an alert is sent, says Bethel's Brian Turnquist. ... "
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