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However, in many real applications, the observed data of the evaluated DMUs are variable over time.
In this example, the data of the evaluated DMU in the last 23 years are provided in Table 1.
In the model, the input and output data of the evaluated DMUs are predicted by the time series method based on the historical data.
Geospatial data of the evaluated systems support various geographic units of data collection and analysis, which is a key requirement for SDG measurements.
In practical studies, the input and output data of the evaluated DMUs are frequently variable over multiple time periods (time series data), and it is important to analyze the change of efficiency over time.
DEA efficiency is independent of the change of inputs and output by the same proportion, so we can change the inputs and output in the same proportion for each DMU until the output data of the evaluated DMUs and sample DMUs are equal.
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As such, we accepted the loss of data for the evaluated periods (i.e., annual, 3-month seasons, monthly, weekly, and hourly).
The higher information content of the evaluated data is due to the volume of data that is evaluated.
For more detailed description of sociodemographic data of the participants evaluated in the investigation, refer to Table 1.
The first one succinctly reports molecular theories and equations, based on which most of the evaluated data given in the other chapters are established.
The data of PM2.5 were evaluated by Mann-Whitney's test.
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