Figure 14-1 shows a sample of the Input Descriptive Statistics Report. These statistics can be used to gauge the validity and robustness of the input data values.
Model Input Descriptive Statistics Report For: 01/28/04 Feature Description Minimum Maximum Average Std. Dev. CV ________ ________________________________________ ____________ ____________ ____________ ____________ ______ CPUTOBTM Total Time Processor Busy 7:38:18.77 56:58:16.02 42:54:27.52 9:15:55.30 21.59 CPUAVB Avg Batch Users 4.84 43.81 25.30 13.77 54.42 CPUAVS Avg Started Users 119.27 199.50 152.56 29.11 19.08 CPUAVT Avg Tso Users 9.76 16.20 12.81 1.61 12.56
Figure 14-1. Model Input Descriptive Statistics Report
The Model Input Descriptive Statistics report contains the
following information:
ELEMENT: The name of the Forecast or training element
being analyzed.
DESCRIPTION: The SAS label of the selected data element,
from either the CA MICS GENLIB definition or
supplied by the user.
DESCRIPTION: The SAS label of the selected data element,
from either the CA MICS GENLIB definition or
supplied by the user.
MIN. The minimum value of the selected data element
VALUE: observed in the input data.
MAX. The maximum value of the selected data element
VALUE: observed in the input data.
MEAN The mean of the values of the selected data
VALUE: element observed in the input data.
STD: The standard deviation of the values of the
selected data element observed in the input
data.
CV: The coefficient of variation. The CV is
calculated by dividing the standard deviation
by the average.
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