fiUnOvShoot-class          package:ROptEst          R Documentation

_F_i_n_i_t_e-_s_a_m_p_l_e _u_n_d_e_r-/_o_v_e_r_s_h_o_o_t _p_r_o_b_a_b_i_l_i_t_y

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

     Class of finite-sample under-/overshoot probability.

_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("fiUnOvShoot",
     ...)'. More frequently they are created via the generating
     function  'fiUnOvShoot'.

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

     '_t_y_p_e': Object of class '"character"': dQuote{finite-sample
          under-/overshoot probability}. 

     '_w_i_d_t_h': Object of class '"numeric"':  half the width of given
          confidence interval. 

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

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

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

     _w_i_d_t_h 'signature(object = "fiUnOvShoot")':  accessor function for
          slot 'width'. 

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

_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. (1968) Robust Confidence Limits. Z.
     Wahrscheinlichkeitstheor. Verw. Geb. *10*:269-278.

     Rieder, H. (1989) A finite-sample minimax regression estimator. 
     Statistics *20*(2): 211-221.

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

     Ruckdeschel, P. and Kohl, M. (2005) Computation of the Finite
     Sample Risk  of M-estimators on Neighborhoods.

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

     'fiRisk-class'

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

     new("fiUnOvShoot")

