R语言 RobAStBase包 getBiasIC()函数中文帮助文档(中英文对照)

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getBiasIC(RobAStBase)
getBiasIC()所属R语言包：RobAStBase

                                        Generic function for the computation of the asymptotic bias for an IC
                                         用于IC的渐近偏差计算的通用函数

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

Generic function for the computation of the asymptotic bias for an IC.
泛型函数为计算用于IC的渐近偏置。


用法----------Usage----------


getBiasIC(IC, neighbor, ...)

## S4 method for signature 'IC,UncondNeighborhood'
getBiasIC(IC, neighbor, L2Fam, biastype = symmetricBias(),
             normtype = NormType(), tol = .Machine$double.eps^0.25, numbeval = 1e5)



参数----------Arguments----------

参数：IC
object of class "InfluenceCurve"
对象的类"InfluenceCurve"


参数：neighbor
object of class "Neighborhood".
对象类"Neighborhood"。


参数：...
additional parameters
额外的参数


参数：L2Fam
object of class "L2ParamFamily".
对象类"L2ParamFamily"。


参数：biastype
object of class "BiasType"
对象的类"BiasType"


参数：normtype
object of class "NormType"
对象的类"NormType"


参数：tol
the desired accuracy (convergence tolerance).
所需的精度（收敛宽容）。


参数：numbeval
number of evalation points.
数量的evalation点。


值----------Value----------

The bias of the IC is computed.
计算的IC的偏压。


方法----------Methods----------

  


IC = "IC", neighbor = "UncondNeighborhood" determines the as. bias by random evaluation of the IC; this random evaluation is done by the internal S4-method .evalBiasIC; this latter dispatches according to the signature IC, neighbor, biastype.<br> For signature IC="IC", neighbor = "ContNeighborhood", biastype = "BiasType", also an argument normtype is used to be able to use self- or information standardizing norms; besides this the signatures IC="IC", neighbor = "TotalVarNeighborhood", biastype = "BiasType", IC="IC", neighbor = "ContNeighborhood", biastype = "onesidedBias", and IC="IC", neighbor = "ContNeighborhood", biastype = "asymmetricBias" are implemented.   
IC =“IC”，邻居“UncondNeighborhood”，决定作为。偏见的IC随机评价;随机评估是由内部S4方法.evalBiasIC;后者调度的签名IC, neighbor, biastype。<BR>对签名IC="IC", neighbor = "ContNeighborhood", biastype = "BiasType"，也参数normtype能够使用自我或信息标准化规范，除了这个签名IC="IC", neighbor = "TotalVarNeighborhood", biastype = "BiasType"，IC="IC", neighbor = "ContNeighborhood", biastype = "onesidedBias"和IC="IC", neighbor = "ContNeighborhood", biastype = "asymmetricBias"来实现。


注意----------Note----------

This generic function is still under construction.
这个通用的功能尚在建设中。


（作者）----------Author(s)----------


Peter Ruckdeschel <a href="mailtoeter.Ruckdeschel@itwm.fraunhofer.de">eter.Ruckdeschel@itwm.fraunhofer.de</a>



参考文献----------References----------

Huber, P.J. (1968) Robust Confidence Limits. Z. Wahrscheinlichkeitstheor. Verw. Geb. 10:269&ndash;278.
Rieder, H. (1980) Estimates derived from robust tests. Ann. Stats. 8: 106&ndash;115.
Rieder, H. (1994) Robust Asymptotic Statistics. New York: Springer.
Kohl, M. (2005) Numerical Contributions to the Asymptotic Theory of Robustness. Bayreuth: Dissertation.
Ruckdeschel, P. and Kohl, M. (2005) Computation of the Finite Sample Bias of M-estimators on Neighborhoods.

参见----------See Also----------

getRiskIC-methods, InfRobModel-class
getRiskIC-methods，InfRobModel-class

转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。


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