kurtosis               package:normalp               R Documentation

_I_n_d_e_x_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 indexes of kurtosis.

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

     kurtosis(x, p=3, value="parameter")

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

       x: A sample of observations.

       p: the structure parameter.

   value: If is set to 'estimate', evaluate the indexes 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 indexes of kurtosis VI, Beta2
     and Betap. Giving a vector as argument, it returns the estimates
     of the three indexes, computed on the sample. On the other hand,
     giving the value of the structure parameter p, it returns the
     theoretical indexes.

_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)

