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.
更多信息和选项
- 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 语言函数，https://reference.wolfram.com/language/RegressionCommon/ref/ParameterBias.html.
文本
Wolfram Research (2007)，ParameterBias，Wolfram 语言函数，https://reference.wolfram.com/language/RegressionCommon/ref/ParameterBias.html.
CMS
Wolfram 语言. 2007. "ParameterBias." Wolfram 语言与系统参考资料中心. Wolfram Research. https://reference.wolfram.com/language/RegressionCommon/ref/ParameterBias.html.
APA
Wolfram 语言. (2007). ParameterBias. Wolfram 语言与系统参考资料中心. 追溯自 https://reference.wolfram.com/language/RegressionCommon/ref/ParameterBias.html 年