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The observed trend pattern changes with height as expected.
Here you are setting up the trend pattern and then move right into the demo.
Time series data are mainly composed of seasonal pattern and trend pattern.
1. Obtain the trend pattern by calculating the centered moving average for the entire data.
Therefore, all 14 model simulations show the same trend pattern, only slightly different from that found over 1979 2010 but with reduced spread.
However, for processes exhibiting certain trend pattern, which stems mainly from deteriorating elements such as power consumption or tool-wear, traditional control charts have to be interpreted differently.
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Trend patterns are also not consistent between the three datasets.
The trend patterns are presented in Table 4.
Forecasting the decomposed seasonal and trend patterns separately to predict the wind speed worked very well.
Data interpretation focuses on extracting trend patterns and classifying/clustering daily blood glucose (BG) profiles.
For extreme precipitation events of shorter durations (5 30 min) there are statistically significant increasing trend patterns for the data series with start years of 1992 1998 while there are no significant trend patterns for recent extremes and there are no statistically significant trend patterns for longer durations (45 180 min).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com