objective               package:Davies               R Documentation

_T_h_e _o_b_j_e_c_t_i_v_e _f_u_n_c_t_i_o_n _f_o_r _f_i_t_t_i_n_g _t_h_e _D_a_v_i_e_s _d_i_s_t_r_i_b_u_t_i_o_n

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

     The distance of a dataset from a particular Davies distribution

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

     objective(params, dataset)
     objective.approx(params, dataset)

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

  params: A three-member vector holding C, lambda1 and lambda2

 dataset: The dataset to be considered

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

     Used by the fit.davies.p() and fit.davies.q() functions

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

     'objective' returns the distance of a dataset from a particular
     Davies distribution as measured by the sums of the squares of the
     differences between observed ('dataset' and expected
     ('expected.value()') values.

     'objective.approx()' uses 'expected.approx()' rather than
     'expected()' to calculate expectations, as per equation 6.

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

     Robin K. S. Hankin

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

     'fit.davies.p', 'fit.davies.q'

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

     params <- c(10, 0.1, 0.1)
     x <- rdavies(100,params)
     objective(params,x)
     objective.approx(params,x)

     objective(least.squares(x),x)
     objective(davies.start(x),x)
       

