estimDV                package:rhosp                R Documentation

_c_o_m_p_u_t_e _t_h_e _D_e _V_i_e_l_d_e_r _e_s_t_i_m_a_t_o_r

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

     compute the De Vielder estimator, in other words, do the same
     function as 'DV'  but returns more details about this estimator
     whereas 'DV' only compute the lambda and mu of the De Vielder
     method

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

     estimDV(fileName, toplot = TRUE, header = TRUE, ks = FALSE)

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

fileName: the file in which the simulated data will be stored 

  toplot: a logical variable to plot the result of this estimation 

  header: a logical for : has the input file an header 

      ks: a logical for : do you want the Kolmogorv Smirnov test 

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

     a list of the following components 

     CR : the CR risk constant calculated with the value of R

      R : the risk constant estimated by this estimation

       T: the vector of observations of the random variable T

lambdaHat: the best estimation of lambda

   muHat: the best estimation of mu

lambdaEmp: the estimation of the lambda of the De Vielder method (in
          this case the same value as lambdaHat)

   muEmp: the estimation of the mu of the De Vielder method (in this
          case the same value as mu)

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

     CJ

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

     #res<-estimDV("data.rda",TRUE,TRUE)

