

_T_h_e _W_e_i_b_u_l_l _D_i_s_t_r_i_b_u_t_i_o_n

     dweibull(x, shape, scale = 1)
     pweibull(q, shape, scale = 1)
     qweibull(p, shape, scale = 1)
     rweibull(n, shape, scale = 1)

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

     x,q: vector of quantiles.

       p: vector of probabilities.

       n: number of observations to generate.

shape,scale: shape and scale parameters.

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

     These functions provide information about the Weibull
     distribution with parameters `shape' and `scale'.
     `dweibull' gives the density, `pweibull' gives the dis-
     tribution function, `qweibull' gives the quantile func-
     tion and `rweibull' generates random deviates.

     If `scale' is omitted it assumes the default value of
     `1'.

     The Weibull distribution with `shape' parameter a and
     `scale' parameter b has density given by

             f(x) = (a/b) (x/b)^(a-1) exp(- (x/b)^a)

     for x > 0.

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

     `dexp' for the Exponential which is a special case of a
     Weibull distribution.

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

     x <- 1:10
     dweibull(x, shape = 1) == dexp(x)
     pweibull(x, shape = 1, scale = pi) == pexp(x, rate = 1/pi)
     qweibull(x/11, shape = 1, scale = pi) == qexp(x/11, rate = 1/pi)

