asAnscombe-class(ROptEst)
asAnscombe-class()所属R语言包:ROptEst
Asymptotic Anscombe risk
渐近安斯库姆风险
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Class of asymptotic Anscombe risk which is the ARE (asymptotic relative efficiency) in the ideal model
类的渐近安斯库姆的风险,这是(渐近相对效率)的理想模式
类对象----------Objects from the Class----------
Objects can be created by calls of the form new("asAnscombe", ...). More frequently they are created via the generating function asAnscombe.
可以创建对象通过调用的形式new("asAnscombe", ...)。更经常的是,他们通过创建生成函数asAnscombe。
插槽----------Slots----------
typeObject of class "character": “optimal bias robust IC (OBRI) for given ARE (asymptotic relative efficiency)”.
type类的对象"character":“最优偏置强大的IC(OBRI)对于给定的(渐近相对效率)”。
effObject of class "numeric": given ARE (asymptotic relative efficiency) to be attained in the ideal model.
eff类的对象"numeric":是(渐近相对效率)所要达到的理想模式。
biastypeObject of class "BiasType": symmetric, one-sided or asymmetric
biastype对象的类"BiasType":对称的,一个单面或不对称
扩展----------Extends----------
Class "asRiskwithBias", directly.<br> Class "asRisk", by class "asRiskwithBias". Class "RiskType", by class "asRisk".
类"asRiskwithBias",直接。<BR>的类"asRisk"类"asRiskwithBias"。类"RiskType",的类"asRisk"的。
方法----------Methods----------
effsignature(object = "asAnscombe"): accessor function for slot eff.
EFFsignature(object = "asAnscombe"):访问函数插槽eff。
showsignature(object = "asAnscombe")
显示signature(object = "asAnscombe")
(作者)----------Author(s)----------
Peter Ruckdeschel <a href="mailto:peter.ruckdeschel@fraunhofer.itwm.de">peter.ruckdeschel@fraunhofer.itwm.de</a>
参考文献----------References----------
The Approach Based on Influence Functions. New York: Wiley.
Rieder, H. (1994) Robust Asymptotic Statistics. New York: Springer.
Kohl, M. (2005) Numerical Contributions to the Asymptotic Theory of Robustness. Bayreuth: Dissertation.
参见----------See Also----------
asRisk-class, asAnscombe
asRisk-class,asAnscombe
实例----------Examples----------
new("asAnscombe")
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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