pargum                package:lmomco                R Documentation

_E_s_t_i_m_a_t_e _t_h_e _P_a_r_a_m_e_t_e_r_s _o_f _t_h_e _G_u_m_b_e_l _D_i_s_t_r_i_b_u_t_i_o_n

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

     This function estimates the parameters of the Gumbel distribution
     given the L-moments of the data in an L-moment object such as that
     returned by 'lmom.ub'. The relation between distribution
     parameters and L-moments is seen under 'lmomgum'.

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

     pargum(lmom)

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

    lmom: A L-moment object created by 'lmom.ub' or 'pwm2lmom'.

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

     An R 'list' is returned.

    type: The type of distribution: 'gum'.

    para: The parameters of the distribution.

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

     W.H. Asquith

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

     Hosking, J.R.M., 1990, L-moments-Analysis and estimation of
     distributions using linear combinations of order statistics:
     Journal of the Royal Statistical Society, Series B, vol. 52, p.
     105-124.

     Hosking, J.R.M., 1996, FORTRAN routines for use with the method of
     L-moments: Version 3, IBM Research Report RC20525, T.J. Watson
     Research Center, Yorktown Heights, New York.

     Hosking, J.R.M. and Wallis, J.R., 1997, Regional frequency
     analysis-An approach based on L-moments: Cambridge University
     Press.

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

     'lmom.ub', 'lmomgum', 'cdfgum', 'quagum'

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

     lmr <- lmom.ub(rnorm(20))
     pargum(lmr)

