getFiRisk(ROptEst)
getFiRisk()所属R语言包:ROptEst
Generic Function for Computation of Finite-Sample Risks
通用函数计算的有限样本的风险
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Generic function for the computation of finite-sample risks. This function is rarely called directly. It is used by other functions.
通用函数计算有限样本的风险。很少直接调用此函数。它被用来由其它函数。
用法----------Usage----------
getFiRisk(risk, Distr, neighbor, ...)
## S4 method for signature 'fiUnOvShoot,Norm,ContNeighborhood'
getFiRisk(risk, Distr,
neighbor, clip, stand, sampleSize, Algo, cont)
## S4 method for signature 'fiUnOvShoot,Norm,TotalVarNeighborhood'
getFiRisk(risk, Distr,
neighbor, clip, stand, sampleSize, Algo, cont)
参数----------Arguments----------
参数:risk
object of class "RiskType".
对象类"RiskType"。
参数:Distr
object of class "Distribution".
对象类"Distribution"。
参数:neighbor
object of class "Neighborhood".
对象类"Neighborhood"。
参数:...
additional parameters.
附加参数。
参数:clip
positive real: clipping bound
正实:剪切方向
参数:stand
standardizing constant/matrix.
标准化常数/矩阵。
参数:sampleSize
integer: sample size.
整数:样本量。
参数:Algo
"A" or "B".
“A”或“B”。
参数:cont
"left" or "right".
“左”或“右”。
Details
详细信息----------Details----------
The computation of the finite-sample under-/overshoot risk is based on FFT. For more details we refer to Section 11.3 of Kohl (2005).
基于FFT计算的有限样本under-/overshoot的风险。欲了解更多详细信息,请参阅第11.3节科尔(2005年)。
值----------Value----------
The finite-sample risk is computed.
有限样本风险计算。
方法----------Methods----------
risk = "fiUnOvShoot", Distr = "Norm", neighbor = "ContNeighborhood" computes finite-sample under-/overshoot risk in methods for function getFixRobIC.
危险=“fiUnOvShoot”,颇=“规范”,邻居=“ContNeighborhood”计算有限样本under-/overshoot的风险的方法函数getFixRobIC。
risk = "fiUnOvShoot", Distr = "Norm", neighbor = "TotalVarNeighborhood" computes finite-sample under-/overshoot risk in methods for function getFixRobIC.
危险=“fiUnOvShoot”,颇=“规范”,邻居=“TotalVarNeighborhood”计算有限样本under-/overshoot的风险的方法函数getFixRobIC。
(作者)----------Author(s)----------
Matthias Kohl <a href="mailto:Matthias.Kohl@stamats.de">Matthias.Kohl@stamats.de</a>
参考文献----------References----------
Huber, P.J. (1968) Robust Confidence Limits. Z. Wahrscheinlichkeitstheor. Verw. Geb. 10:269–278.
Kohl, M. (2005) Numerical Contributions to the Asymptotic Theory of Robustness. Bayreuth: Dissertation.
Ruckdeschel, P. and Kohl, M. (2005) Computation of the Finite Sample Risk of M-estimators on Neighborhoods.
参见----------See Also----------
fiRisk-class
fiRisk-class
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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