VI. Evaluation of Model Fit Part 2: Graphical Analysis of Model Fit and Related Statistics. Graphs of weighted residuals versus unweighted simulated values, and minimum, maximum, and average weighted residuals
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
Graphs of weighted residuals versus unweighted simulated values, and minimum, maximum, and average weighted residuals
Graphs of weighted observations versus weighted simulated values and the correlation coefficient R
Graphics using independent variables and the runs statistic
Normal probability plots and the correlation coefficient RN2
Determining acceptable deviations from independent normal weighted residuals
Use GW_Chart for plotting
(These figures use weighted simulated values, but the results are the same)
Define scale of weighted residual axis using the standard error of the regression.
Figure 6-2 of Hill and Tiedeman (page 103)
Figure 6-1 (page 102)
Figure 6-7A of Hill and Tiedeman (page 116)
Figures with weighted observations
Figures with weighted residuals
Figure 6-3 of Hill and Tiedeman (page 105)
In UCODE_2005, _ws has simulated
instead of weighted simulated values
Figure 6-7b of Hill and Tiedeman (page 116)
Plotted using _w and .xyzt file or other source of location information.
Figure 6-9 of Hill and Tiedeman (page 117)
Figure 6-11 of Hill and Tiedeman (page 119)
Figure 6-11: weighted residuals for steady-state model
Run residual_analysis to get the _rd and _rg files.
Plot with gw_chart.
(gw_chart reverses the axes compared to the graphs here.)