locMEstimator            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 _l_o_c_a_t_i_o_n _M _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 location M estimators.

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

     locMEstimator(x, IC, ...)

     ## S4 method for signature 'numeric, InfluenceCurve':
     locMEstimator(x, IC, eps = .Machine$double.eps^0.5)

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

       x: sample 

      IC: object of class '"InfluenceCurve"' 

     ...: additional parameters 

     eps: the desired accuracy (convergence tolerance). 

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

     Returns a list with component 

     loc: M estimator of location 

_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" univariate location. 

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

     Matthias Kohl Matthias.Kohl@stamats.de

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

     Huber, P.J. (1964) Robust estimation of a location parameter. 
     Ann. Math. Stat. *35*: 73-101.

     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'

