paramp                package:normalp                R Documentation

_E_s_t_i_m_a_t_i_o_n _o_f _l_o_c_a_t_i_o_n _a_n_d _s_c_a_l_e _p_a_r_a_m_e_t_e_r_s

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

     The function 'paramp' returns a list with five elements:
     arithmetic mean, Mp, standard deviation, Sp, and shape parameter
     p, estimated on a sample.

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

     paramp(x, p)

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

       x: A vector of observations.

       p: If specified, the algorithm uses this value for 'p', i.e. the
          algorithm does not use an estimate of 'p'.

     ...: Further arguments passed to or from other methods.

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

     The estimation of Mp and p is based on an iterative method. To
     show differences between the least squares method and the maximum
     likelihood method, it prints out also the mean and the standard
     deviation. 

    Mean: Arithmetic mean.

      Mp: The estimated value of the location parameter.

      Sd: Standard deviation.

      Sp: The estimated value of the scale parameter.

       p: The estimated value of the shape parameter.

    iter: If its value is 1, we have had problems on convergence.

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

     Angelo M. Mineo

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

     Mineo, A.M. (1996) _La migliore combinazione delle osservazioni:
     curve normali di ordine p e stimatori di norma Lp_. PhD thesis.

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

     x<-rnormp(1000,2,3,4.2)
     paramp(x)

