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

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minmaxBias(ROptEst)
minmaxBias()所属R语言包：ROptEst

                                         Generic Function for the Computation of Bias-Optimally Robust ICs
                                         通用功能的计算偏置最佳强大的集成电路

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

Generic function for the computation of bias-optimally robust ICs  in case of infinitesimal robust models. This function is  rarely called directly.
偏置最佳强大的芯片的情况下的无穷可靠的模型计算的通用功能。很少直接调用此函数。


用法----------Usage----------


minmaxBias(L2deriv, neighbor, biastype, ...)

## S4 method for signature 'UnivariateDistribution,ContNeighborhood,BiasType'
minmaxBias(L2deriv,
     neighbor, biastype, symm, trafo, maxiter, tol, warn, Finfo)

## S4 method for signature 'UnivariateDistribution,ContNeighborhood,asymmetricBias'
minmaxBias(
     L2deriv, neighbor, biastype, symm, trafo, maxiter, tol, warn, Finfo)

## S4 method for signature 'UnivariateDistribution,ContNeighborhood,onesidedBias'
minmaxBias(
     L2deriv, neighbor, biastype, symm, trafo, maxiter, tol, warn, Finfo)

## S4 method for signature 'UnivariateDistribution,TotalVarNeighborhood,BiasType'
minmaxBias(
     L2deriv, neighbor, biastype, symm, trafo, maxiter, tol, warn, Finfo)

## S4 method for signature 'RealRandVariable,ContNeighborhood,BiasType'
minmaxBias(L2deriv,
     neighbor, biastype, normtype, Distr, z.start, A.start,  z.comp, A.comp,
     Finfo, trafo, maxiter, tol, verbose = NULL)

## S4 method for signature 'RealRandVariable,TotalVarNeighborhood,BiasType'
minmaxBias(L2deriv,
     neighbor, biastype, normtype, Distr, z.start, A.start,  z.comp, A.comp,
     Finfo, trafo, maxiter, tol, verbose = NULL)



参数----------Arguments----------

参数：L2deriv
L2-derivative of some L2-differentiable family  of probability measures.
L2-衍生的一些L2-微家庭的概率措施。


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


参数：biastype
object of class "BiasType".
对象类"BiasType"。


参数：normtype
object of class "NormType".
对象类"NormType"。


参数：...
additional parameters.
附加参数。


参数：Distr
object of class "Distribution".
对象类"Distribution"。


参数：symm
logical: indicating symmetry of L2deriv.
逻辑：表示对称的L2deriv。


参数：z.start
initial value for the centering constant.
定心常数的初始值。


参数：A.start
initial value for the standardizing matrix.
标准化矩阵的初始值。


参数：z.comp
logical indicator which indices need to be computed and which are 0 due to symmetry.
logical指示器需要计算哪个索引是0由于对称性。


参数：A.comp
matrix of logical indicator which indices need to be computed and which are 0 due to symmetry.
matrixlogical指标，需要计算的指数的，哪些是0由于对称性。


参数：trafo
matrix: transformation of the parameter.
矩阵变换的参数。


参数：maxiter
the maximum number of iterations.
最大迭代次数。


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


参数：warn
logical: print warnings.
逻辑：打印警告。


参数：Finfo
Fisher information matrix.
Fisher信息矩阵。


参数：verbose
logical: if TRUE, some messages are printed
逻辑：如果TRUE，一些消息都印


值----------Value----------

The bias-optimally robust IC is computed.
偏置最佳状态的鲁棒IC计算。


方法----------Methods----------

  


L2deriv = "UnivariateDistribution", neighbor = "ContNeighborhood",  biastype = "BiasType"  computes the bias optimal influence curve for symmetric bias for L2 differentiable  parametric families with unknown one-dimensional parameter.
L2deriv =的“UnivariateDistribution”，邻居=“ContNeighborhood”，biastype =“BiasType”计算L2微一维参数未知参数家庭对称偏置曲线的偏置最佳的影响力。




L2deriv = "UnivariateDistribution", neighbor = "ContNeighborhood",  biastype = "asymmetricBias"  computes the bias optimal influence curve for asymmetric bias for L2 differentiable  parametric families with unknown one-dimensional parameter.
L2deriv =的“UnivariateDistribution”，邻居=“ContNeighborhood”，biastype =“asymmetricBias”计算最佳的偏见的影响L2微参数家庭与未知的一维参数曲线的非对称偏置。




L2deriv = "UnivariateDistribution", neighbor = "TotalVarNeighborhood",  biastype = "BiasType"  computes the bias optimal influence curve for symmetric bias for L2 differentiable  parametric families with unknown one-dimensional parameter.
L2deriv =的“UnivariateDistribution”，邻居=“TotalVarNeighborhood”，biastype =“BiasType”计算L2微一维参数未知参数家庭对称偏置曲线的偏置最佳的影响力。




L2deriv = "RealRandVariable", neighbor = "ContNeighborhood",  biastype = "BiasType"  computes the bias optimal influence curve for symmetric bias for L2 differentiable  parametric families with unknown k-dimensional parameter  (k > 1) where the underlying distribution is univariate.
L2deriv =“RealRandVariable”，邻居=“ContNeighborhood”，biastype =“BiasType”的未知k维参数（k > 1），其中的计算偏置最佳的影响力为对称偏置曲线L2微参数家庭基本分布是一元的。




L2deriv = "RealRandVariable", neighbor = "TotalNeighborhood", biastype = "BiasType" computes the bias optimal influence curve for symmetric bias for L2 differentiable parametric families in a setting where we are interested in a p=1 dimensional aspect of an unknown k-dimensional parameter (k > 1) where the underlying distribution is univariate.   
L2deriv =“RealRandVariable”，邻居=“TotalNeighborhood”，biastype =“BiasType”的计算L2微参数家庭设置我们感兴趣的是一个p=1的维方面的一个未知的最优偏置影响曲线对称偏置k维参数（k > 1）的基本分布是单变量。


（作者）----------Author(s)----------


Matthias Kohl <a href="mailto:Matthias.Kohl@stamats.de">Matthias.Kohl@stamats.de</a>,
Peter Ruckdeschel <a href="mailtoeter.Ruckdeschel@itwm.fraunhofer.de">eter.Ruckdeschel@itwm.fraunhofer.de</a>



参考文献----------References----------

Rieder, H. (1980) Estimates derived from robust tests. Ann. Stats. 8: 106&ndash;115.
Rieder, H. (1994) Robust Asymptotic Statistics. New York: Springer.
Ruckdeschel, P. (2005) Optimally One-Sided Bounded Influence Curves. Mathematical Methods in Statistics 14(1), 105-131.
Kohl, M. (2005) Numerical Contributions to the Asymptotic Theory of Robustness.  Bayreuth: Dissertation.

参见----------See Also----------

InfRobModel-class
InfRobModel-class

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


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