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Results tagged with residuals
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user 238499
The residuals of a model are the actual values minus the predicted values. Many statistical models make assumptions about the error, which is estimated by the residuals.
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Is it sound to use a regression model to identify excessive medication dosage for individual...
I think you are right: regression (linear or otherwise) may be the way to go. The only exception would be the case is which dosage is limited to a small amount of fixed values, in which case I would c …
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If you minimize RSS, does that minimize MSE?
MSE is just RSS divided by the sample size, so, for a given sample, anything that optimizes one of them will also optimize the other
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Residual Analysis assumptions for non-linear regression
There is also the hypothesis of homoskedasticity in the case of linear regression (ie: all residuals must have the same variance)
When jumping into the non-linear regression world, different methods will … I would say, however, that independence of residuals is always a desirable property unless you are working with a model that tries to especifically handle that (time series, for instance) …
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Accepted
Interpreting qq plot from ARIMA residuals
My interpretation would be that the middle values of the sample are close to what you'd expect from normally distributed data, as it follows the straight line from the diagram closely.
However, it se …
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Should I analyze the residuals of a model selected by auto.arima?
This means analyzing the residuals but also other tests. Always check the validity of your models. There are several reasons for this:
There could be an unknown bug in the third-party software. … Analyzing the residuals of a model could give you a hint on what a reasonable alternative model could look like. …
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