oneStepEstimator           package:ROptEst           R Documentation

_G_e_n_e_r_i_c _f_u_n_c_t_i_o_n _f_o_r _t_h_e _c_o_m_p_u_t_a_t_i_o_n _o_f _o_n_e-_s_t_e_p _e_s_t_i_m_a_t_o_r_s

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

     Generic function for the computation of one-step estimators.

_U_s_a_g_e:

     oneStepEstimator(x, IC, start)

_A_r_g_u_m_e_n_t_s:

       x: sample 

      IC: object of class '"InfluenceCurve"' 

   start: initial estimate 

_D_e_t_a_i_l_s:

     Given an initial estimation 'start', a sample 'x'  and an
     influence curve 'IC' the corresponding one-step estimator is
     computed

_V_a_l_u_e:

     The one-step estimation is computed.

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

     _x = "_n_u_m_e_r_i_c", _I_C = "_I_n_f_l_u_e_n_c_e_C_u_r_v_e", _s_t_a_r_t = "_n_u_m_e_r_i_c" univariate
          samples. 

     _x = "_n_u_m_e_r_i_c", _I_C = "_I_n_f_l_u_e_n_c_e_C_u_r_v_e", _s_t_a_r_t = "_l_i_s_t" univariate
          samples. 

     _x = "_m_a_t_r_i_x", _I_C = "_I_n_f_l_u_e_n_c_e_C_u_r_v_e", _s_t_a_r_t = "_n_u_m_e_r_i_c" 
          multivariate samples. 

     _x = "_m_a_t_r_i_x", _I_C = "_I_n_f_l_u_e_n_c_e_C_u_r_v_e", _s_t_a_r_t = "_l_i_s_t" multivariate
          samples. 

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

     Matthias Kohl Matthias.Kohl@stamats.de

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

     Rieder, H. (1994) _Robust Asymptotic Statistics_. New York:
     Springer.

     Kohl, M. (2005) _Numerical Contributions to the Asymptotic Theory
     of Robustness_.  Bayreuth: Dissertation.

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

     'InfluenceCurve-class'

