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R语言 ROptEstOld包 L2ParamFamily-class()函数中文帮助文档(中英文对照)

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发表于 2012-9-27 23:09:13 | 显示全部楼层 |阅读模式
L2ParamFamily-class(ROptEstOld)
L2ParamFamily-class()所属R语言包:ROptEstOld

                                        L2 differentiable parametric family
                                         L2微参数系列

                                         译者:生物统计家园网 机器人LoveR

描述----------Description----------

Class of L2 differentiable parametric families.
L2微参数家庭类。


类对象----------Objects from the Class----------

Objects can be created by calls of the form new("L2ParamFamily", ...). More frequently they are created via the generating function  L2ParamFamily.
可以创建对象通过调用的形式new("L2ParamFamily", ...)。更经常的是,他们通过创建生成函数L2ParamFamily。


插槽----------Slots----------

  


name: object of class "character":  name of the family.  
name:类的对象"character":家庭的名称。

distribution: object of class "Distribution": member of the family.  
distribution:对象的类"Distribution":家庭成员的。

distrSymm:Object of class "DistributionSymmetry":  symmetry of distribution.  
distrSymm类的对象"DistributionSymmetry":对称的distribution。

param: object of class "ParamFamParameter": parameter of the family.  
param:对象的类"ParamFamParameter":参数的家庭。

props: object of class "character": properties of the family.  
props对象的类"character":属性的家庭。

L2deriv: object of class "EuclRandVariable": L2 derivative of the family.  
L2deriv:对象的类"EuclRandVariable":L2衍生的家庭。

L2derivSymm: object of class "FunSymmList": symmetry of the maps included in L2deriv.  
L2derivSymm:类的对象"FunSymmList":对称的图包含在L2deriv。

L2derivDistr: object of class "UnivarDistrList": list which includes the distribution of L2deriv.  
L2derivDistr:对象的类"UnivarDistrList"名单,其中包括分布L2deriv。

L2derivDistrSymm: object of class "DistrSymmList": symmetry of the distributions included in L2derivDistr.  
L2derivDistrSymm:类的对象"DistrSymmList":对称分布在L2derivDistr。

FisherInfo: object of class "PosDefSymmMatrix": Fisher information of the family.   
FisherInfo:对象类"PosDefSymmMatrix":Fisher信息的家庭。


扩展----------Extends----------

Class "ParamFamily", directly.<br> Class "ProbFamily", by class "ParamFamily".
类"ParamFamily",直接。<BR>的类"ProbFamily"类"ParamFamily"。


方法----------Methods----------

  


L2derivsignature(object = "L2ParamFamily"):  accessor function for L2deriv.
L2derivsignature(object = "L2ParamFamily"):访问函数L2deriv。




L2derivSymmsignature(object = "L2ParamFamily"):  accessor function for L2derivSymm.
L2derivSymmsignature(object = "L2ParamFamily"):访问函数L2derivSymm。




L2derivDistrsignature(object = "L2ParamFamily"): accessor function for L2derivDistr.
L2derivDistrsignature(object = "L2ParamFamily"):访问函数L2derivDistr。




L2derivDistrSymmsignature(object = "L2ParamFamily"): accessor function for L2derivDistrSymm.
L2derivDistrSymmsignature(object = "L2ParamFamily"):访问函数L2derivDistrSymm。




FisherInfosignature(object = "L2ParamFamily"): accessor function for FisherInfo.
FisherInfo signature(object = "L2ParamFamily"):存取函数为FisherInfo。




checkL2derivsignature(object = "L2ParamFamily"):  check centering of L2deriv and compute precision  of Fisher information.
checkL2deriv signature(object = "L2ParamFamily"):办理入住手续的L2deriv为中心的Fisher信息和计算精度。




Esignature(object = "L2ParamFamily", fun = "EuclRandVariable", cond = "missing"): expectation of fun under the distribution of object.
Esignature(object = "L2ParamFamily", fun = "EuclRandVariable", cond = "missing"):预期的fun下的分布object。




Esignature(object = "L2ParamFamily", fun = "EuclRandMatrix", cond = "missing"): expectation of fun under the distribution of object.
Esignature(object = "L2ParamFamily", fun = "EuclRandMatrix", cond = "missing"):预期的fun下的分布object。




Esignature(object = "L2ParamFamily", fun = "EuclRandVarList", cond = "missing"): expectation of fun under the distribution of object.
Esignature(object = "L2ParamFamily", fun = "EuclRandVarList", cond = "missing"):预期的fun下的分布object。




plotsignature(x = "L2ParamFamily"):  plot of distribution and L2deriv.   
图signature(x = "L2ParamFamily"):图distribution和L2deriv。


(作者)----------Author(s)----------


Matthias Kohl <a href="mailto:Matthias.Kohl@stamats.de">Matthias.Kohl@stamats.de</a>



参考文献----------References----------

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----------

L2ParamFamily, ParamFamily-class
L2ParamFamily,ParamFamily-class


实例----------Examples----------


F1 <- new("L2ParamFamily")
plot(F1)

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


注:
注1:为了方便大家学习,本文档为生物统计家园网机器人LoveR翻译而成,仅供个人R语言学习参考使用,生物统计家园保留版权。
注2:由于是机器人自动翻译,难免有不准确之处,使用时仔细对照中、英文内容进行反复理解,可以帮助R语言的学习。
注3:如遇到不准确之处,请在本贴的后面进行回帖,我们会逐渐进行修订。
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