Page 83 - Fundamentals of Probability and Statistics for Engineers
P. 83

66                     Fundamentals of Probability and Statistics for Engineers

           However,
                                         ;;  for r < 48;
                                       8
                                       >
                                       <
                   R   r \ 48   R   52 ˆ  48   R   r;  for 48   r   52;
                                       >
                                         48   R   52;  for r > 52:
                                       :
           Hence,
                            0;  for r < 48;
                         8
                         >
                         >
                         >                  Z  r
                         >
                                               f …r†dr
                         >
                         <
                                                R
                F R …rjA†ˆ  P…48   R   r†    48
                                          ˆ          ;  for 48   r   52;
                            P…48   R   52†      c
                         >
                         >
                         >
                         >
                         >
                         :
                            1;  for r > 52;
           where
                                          52
                                        Z
                                     c ˆ    f …r†dr:
                                             R
                                          48
           is a constant.
             The desired f (r A) is then obtained from the above by differentiation. Wej
                        R
           obtain
                                            f R …r†
                                         8
                               dF R …rjA†  <    ;  for 48   r   52
                      f …rjA†ˆ         ˆ     c
                       R
                                  dr     :
                                            0; elsewhere
             It can be seen from Figure 3.18 (dashed line) that the effect of screening is
           essentially a truncation of the tails of the distribution beyond the allowable
           limits. This is accompanied by an adjustment within the limits by a multi-
           plicative factor 1/c so that the area under the curve is again equal to 1.
           FURTHER READING AND COMMENTS
           We discussed in Section 3.3 the determination of (unique) marginal distributions from a
           knowledge of joint distributions. It should be noted here that the knowledge of marginal
           distributions does not in general lead to a unique joint distribution. The following reference
           shows that all joint distributions having a specified set of marginals can be obtained by
           repeated applications of the so-called    transformation to the product of the marginals:
           Becker, P.W., 1970, ‘‘A Note on Joint Densities which have the Same Set of Marginal


            Densities’’, in  Proc.  International Symp. Information Theory, Elsevier  Scientific Pub-
            lishers, The Netherlands.






                                                                            TLFeBOOK
   78   79   80   81   82   83   84   85   86   87   88