Template:ALTA residuals: Difference between revisions
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====Residuals==== | |||
There are three types of residual plots: | |||
{{ALTA residuals standardized plot}} | {{ALTA residuals standardized plot}} | ||
Revision as of 19:19, 20 January 2012
Residuals
There are three types of residual plots:
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| Standardized Residuals Plot |
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The Standardized Residuals plot is useful for determining the adequacy of the life-stress model for the current data. The plot line has a mean of zero and negative values are possible. The appropriate probability transformation is plotted on the y-axis and the value of the residual is plotted on the x-axis. The plotted points (residuals) are based on the data, which are transformed using an appropriate transformation based on the selected life-stress model. If the model adequately fits the data, the points should track the plot line. |
Learn more from...
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the help files... |
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the theory textbook... |
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related article(s)... |
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application example(s)... |
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| Cox-Snell Residuals Plot |
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The Cox-Snell residuals plot is useful for determining the adequacy of the life-stress model for the current data. The line is plotted on an exponential probability plotting paper and is on the positive domain. The plotted points (residuals) are based on the data which are transformed using an appropriate transformation based on the selected life-stress model. If the model adequately fits the data, the plotted points should track the plot line. |
Learn more from...
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the help files... |
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the theory textbook... |
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related article(s)... |
|
|
application example(s)... |
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| Standard vs. Fitted Value Plot |
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The Standardized vs. Fitted Value plot shows the value of the scale parameter of the underlying life distribution on the x-axis and the value of standardized residual on the y-axis. This plot shows the variability (scatter) of the data at each stress level. |
Learn more from...
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the help files... |
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the theory textbook... |
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|
related article(s)... |
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|
application example(s)... |