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242                    Fundamentals of Probability and Statistics for Engineers

           7.24 Show that, if    is a positive integer, the probability distribution function (PDF) of
               a gamma-distributed random variable X  can be written as
                                    0;  for x   0;
                                  8
                                  <      1   k   x
                           F X …x†ˆ    P … x† e
                                    1            ;  for x > 0:
                                  :          k!
                                       kˆ0
               Recognize that the terms in the sum take the form of the Poisson mass function and
               therefore can be calculated with the aid of probability tables for Poisson distribu-
               tions.
           7.25 The system shown in Figure 7.16 has three redundant components, A–C. Let their
               operating  lives  (in  hours)  be  denoted  by  T 1 , T 2 , and T 3 ,  respectively.  If  the
               redundant parts come into operation only when the online component fails (cold
               redundancy), then the operating life of the system, T, is T ˆ  T 1 ‡  T 2 ‡  T 3 .
               Let T 1 , T 2 , and T 3  be independent random variables, each distributed as

                                   1  e  t j =100 ;  for t j   0; j ˆ 1; 2; 3;
                          f …t j †ˆ  100
                           T j
                                   0;  otherwise:
               Determine the probability that the system will operate at least 300 hours.
           7.26 We showed in Section 7.4.1 that an exponential failure law leads to a constant
               failure  rate.  Show  that  the  converse  is  also  true;  that  is,  if  h(t)  as  defined  by
               Equation (7.65) is a constant then the time to failure T is exponentially distributed.
           7.27 A shifted exponential distribution is defined as an exponential distribution shifted
               to  the right  by an  amount  a; that  is,  if random  variable X  has an  exponential
               distribution with
                                            x
                                         e  ;  for x   0;
                                f …x†ˆ
                                 X
                                        0;  elsewhere;
               random  variable Y  has a  shifted  exponential distribution  if f (y) has the same
                                                               Y
               shape as f (x) but its nonzero portion starts at point a rather than zero. Determine
                      X
               the relationship  between  X  and  Y  and  probability  density  function  (pdf)  f (y).
                                                                          Y
               What are the mean and variance of Y ?
                                           A



                                           B




                                           C

                       Figure 7.16 System of components, for Problem 7.25








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