see.M: Visualization of the M-estimation function
In asbio: A Collection of Statistical Tools for Biologists
see.M R Documentation
Visualization of the M-estimation function
Description
The function provides interactive visualization of robust M estimation of location.
Usage
see.M()
Details
The value c = 1.28 gives 95 percent efficiency of the mean given normality. The sample median and mean can be considered special cases of M-estimators. The value c = 0 provides the sample median, while the value, c = \infty gives the sample mean.
Author(s)
Ken Aho
References
Wilcox, R. R. (2005) Introduction to Robust Estimation and Hypothesis Testing, Second
Edition. Elsevier, Burlington, MA.
See Also
huber.mu, huber.NR
asbio documentation built on Aug. 20, 2023, 9:07 a.m.
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| see.M | R Documentation |
Visualization of the M-estimation function
Description
The function provides interactive visualization of robust M estimation of location.
Usage
see.M()
Details
The value c = 1.28 gives 95 percent efficiency of the mean given normality. The sample median and mean can be considered special cases of M-estimators. The value c = 0 provides the sample median, while the value, c = \infty gives the sample mean.
Author(s)
Ken Aho
References
Wilcox, R. R. (2005) Introduction to Robust Estimation and Hypothesis Testing, Second Edition. Elsevier, Burlington, MA.
See Also
huber.mu, huber.NR
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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