RegressionCommon`
RegressionCommon`
ParameterBias
As of Version 7.0, ParameterBias has become a property of NonlinearModelFit.
ParameterBias
is a possible value for the RegressionReport option for NonlinearRegress which represents the estimated bias in the parameter estimates.
Details and Options
- To use ParameterBias, you first need to load the Regression Common Functions Package. You can do this by using Needs["NonlinearRegression`"], which will automatically load the Regression Common Functions Package, or you can load the package directly by using Needs["RegressionCommon`"].
- ParameterBias gives a vector of the estimated differences between the parameter estimates and the true parameter values.
- ParameterBias is based on the average curvature of the solution locus tangential to the least‐squares estimate.
Wolfram Research (2007), ParameterBias, Wolfram Language function, https://reference.wolfram.com/language/RegressionCommon/ref/ParameterBias.html.
Text
Wolfram Research (2007), ParameterBias, Wolfram Language function, https://reference.wolfram.com/language/RegressionCommon/ref/ParameterBias.html.
CMS
Wolfram Language. 2007. "ParameterBias." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/RegressionCommon/ref/ParameterBias.html.
APA
Wolfram Language. (2007). ParameterBias. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/RegressionCommon/ref/ParameterBias.html