NormLinRegScaleFamily: Generating Function for Linear Regression Family with Unknown Scale
Description
Generates an object of class "L2RegTypeFamily"
which represents a linear regression family with standard
normal distributed errors and random regressor where the
scale of the error distribution is unknown.
Usage
NormLinRegScaleFamily(theta, scale = 1, trafo, RegDistr = Norm(),
RegSymm, Reg2Mom, nuisance = FALSE)Arguments
theta
linear regression parameter
scale
scale parameter for error distribution
trafo
matrix: transformation of the parameter
RegSymm
symmetry of the regressor distribution
Reg2Mom
second moment matrix of regressor
nuisance
logical: is scale nuisance parameter
Value
Object of class "L2RegTypeFamily"
Details
In case theta is missing, it is set to 0.
If Reg2Mom is missing, it is computed via E.
References
Kohl, M. (2005) Numerical Contributions to the
Asymptotic Theory of Robustness. Bayreuth: Dissertation.
Examples
Run this code# NOT RUN {
(LM1 <- NormLinRegScaleFamily(Reg2Mom = matrix(1)))
Map(L2deriv(LM1)[[1]])
FisherInfo(LM1)
checkL2deriv(LM1)
# }
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