摘要：Let f(Xi; Yi); i 1g be a sequence of bivariate random variablesfrom a continuous distribution. If fRn; n 1g is the sequence of recordvalues in the sequence of X's, then the Y which corresponds with the nth-record will be called the concomitant of the nth-record, denoted by R[n].In FGM family, we determine the amount of information contained in R[n]and compare it with amount of information given in Rn. Also, we showthat the Kullback-Leibler distance among the concomitants of record valuesis distribution-free. Finally, we provide some numerical results of mutualinformation and Pearson correlation coecient for measuring the amount ofdependency between Rn and R[n] in the copula model of FGM family.
