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  2. Teens are using 'aura points' to calculate coolness. The ...

    www.aol.com/lifestyle/teens-using-aura-points...

    Teens are adding and subtracting "aura points" to calculate their coolness in a new TikTok trend. ... “Like most trends, [aura points] will come and go, but this trend is basically an adaptation ...

  3. Pinterest Says These Cheery Colors Will Trend This Year, and ...

    www.aol.com/lifestyle/pinterest-says-cheery...

    1. Cherry Red. This color trend takes painting the town red to a new level. The bold red tone is based on Pinterest’s predicted cherry-coded trend, one the social media site claims is especially ...

  4. Decomposition of time series - Wikipedia

    en.wikipedia.org/wiki/Decomposition_of_time_series

    The trend-cycle component can just be referred to as the "trend" component, even though it may contain cyclical behavior. [3] For example, a seasonal decomposition of time series by Loess (STL) [ 4 ] plot decomposes a time series into seasonal, trend and irregular components using loess and plots the components separately, whereby the cyclical ...

  5. Trend surface analysis - Wikipedia

    en.wikipedia.org/wiki/Trend_surface_analysis

    Trend surface analysis is a mathematical technique used in environmental sciences (archeology, geology, soil science, etc.). Trend surface analysis (also called trend surface mapping) is a method based on low-order polynomials of spatial coordinates for estimating a regular grid of points from scattered observations.

  6. Linear trend estimation - Wikipedia

    en.wikipedia.org/wiki/Linear_trend_estimation

    Linear trend estimation is a statistical technique used to analyze data patterns. Data patterns, or trends, occur when the information gathered tends to increase or decrease over time or is influenced by changes in an external factor.

  7. Nelson rules - Wikipedia

    en.wikipedia.org/wiki/Nelson_rules

    Nelson rules are a method in process control of determining whether some measured variable is out of control (unpredictable versus consistent). Rules for detecting "out-of-control" or non-random conditions were first postulated by Walter A. Shewhart [1] in the 1920s.

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