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Hi,
I had question about how kronos handles repeated sampling? I'm not familiar with circadian statistical modeling, but when we use mixed effects linear regression modeling, it is typical for you…
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Statistical modeling is the process of using statistical techniques to describe and understand the relationships between variables in a dataset. It involves the formulation of mathematical models that…
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**Objective**
Analyze market data to identify high and low energy demand seasons based on price patterns. This will support better maintenance scheduling and resource optimization during these per…
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## Expected Behavior
Turning on and off statistical modeling by choosing different corners
## Actual Behavior
Turning on and off statistical modeling by choosing different corners PLUS option…
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Based on the readings for the Wednesday class, might either of those programs for statistical analysis be useful? Since you're only doing songs, the texts might not be long enough to warrant them but…
mtm80 updated
6 years ago
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**Objective**
Leverage SCADA data to generate a power curve, visualizing the relationship between wind speed and power output. This will help assess wind turbine performance and identify potential …
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Drake equation is not a valid algorithm for calculating a probability of success, the factors are not valid either.
Reminder of how the Drake equation works:
1. It uses a bunch of fractions that r…
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**Basic Information**
name: R
official website: https://www.r-project.org/
source code website: https://cran.r-project.org/sources.html
**meta**:
- license: sry, I do not know.
- versi…
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Program models Browns Failure as purely random events and doesn't take into account widely available game statistics. Changing from purely random to something weighted on each players performance wou…
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Comb all Illinois HS t&f data on athletic.net, dyestat.com, directathletics, milesplit, etc. and write webcrawler
Do crazy predictive statistics