kurtosis               package:normalp               R Documentation

_I_n_d_i_c_e_s _o_f _k_u_r_t_o_s_i_s

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

     This function computes the theoretical and empirical values of
     three indices of kurtosis.

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

     kurtosis(x = NULL, p, value = c("estimate", "parameter"))

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

       x: A sample of observations.

       p: the shape parameter.

   value: If is set to 'estimate', evaluate the indices using an
          estimate of p. Otherwise, if is set to 'parameter' it uses
          the value specified in 'p'.

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

     It returns the vector of the three indices of kurtosis VI, Beta2
     and Betap. Giving a vector as argument, it returns the estimates
     of the three indices, computed on the sample. On the other hand,
     giving the value of the shape parameter p, it returns the
     theoretical indices.

_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:

     kurtosis(p=2)
     x<-rnormp(50,mu=0,sigmap=2,p=1.5)
     kurtosis(x,p=2)

