fiHampel-class            package:ROptEst            R Documentation

_F_i_n_i_t_e-_s_a_m_p_l_e _H_a_m_p_e_l _r_i_s_k

_D_e_s_c_r_i_p_t_i_o_n:

     Class of finite-sample Hampel risk which is the trace of the
     finite-sample covariance subject to a given bias bound (bound on
     gross error sensitivity).

_O_b_j_e_c_t_s _f_r_o_m _t_h_e _C_l_a_s_s:

     Objects can be created by calls of the form 'new("fiHampel",
     ...)'. More frequently they are created via the generating
     function  'fiHampel'.

_S_l_o_t_s:

     '_t_y_p_e': Object of class '"character"':  "trace of finite-sample
          covariance for given bias bound". 

     '_b_o_u_n_d': Object of class '"numeric"':  given positive bias bound. 

_E_x_t_e_n_d_s:

     Class '"fiRisk"', directly.
      Class '"RiskType"', by class '"fiRisk"'.

_M_e_t_h_o_d_s:

     _b_o_u_n_d 'signature(object = "fiHampel")':  accessor function for
          slot 'bound'. 

     _s_h_o_w 'signature(object = "fiHampel")'

_A_u_t_h_o_r(_s):

     Matthias Kohl Matthias.Kohl@stamats.de

_R_e_f_e_r_e_n_c_e_s:

     Hampel et al. (1986) _Robust Statistics_.  The Approach Based on
     Influence Functions. New York: Wiley.

     Ruckdeschel, P. and Kohl, M. (2005) How to approximate  the finite
     sample risk of M-estimators.

_S_e_e _A_l_s_o:

     'fiRisk-class', 'fiHampel'

_E_x_a_m_p_l_e_s:

     new("fiHampel")

