Page 243 - Fundamentals of Probability and Statistics for Engineers
P. 243

226                    Fundamentals of Probability and Statistics for Engineers

           developed in Chapter 5 can be applied to determine the pdf of Y  in a straight-
           forward manner. Following Equation (5.12), we have



                    8
                          1      …  ‡  †
                    >                          1       1
                    <                  …y   a†  …b   y†  ;  for a   x   b;
             f …y†ˆ  …b   a†  ‡  1   … † … †                             …7:86†
              Y
                    >
                     0;  elsewhere:
                    :
           7.6  EXTREME-VALUE DISTRIBUTIONS

           A structural engineer, concerned with the safety of a structure, is often inter-
           ested  in  the  maximum  load  and  maximum   stress  in  structural  members.  In
           reliability studies, the distribution of the life of a system having n components
           in  series (where the system  fails if any component  fails) is a  function  of the
           minimum time to failure of these components, whereas for a system with a
           parallel arrangement  (where the system  fails when  all components fail) it  is
           determined by the distribution of maximum time to failure. These examples
           point to our frequent concern with distributions of maximum or minimum
           values of a number of random variables.
             To  fix  ideas,  let  X j , j ˆ  1, 2, .. . , n,  denote the jth  gust  velocity  of n gusts
           occurring in a year, and let Y n  denote the annual maximum gust velocity. We
           are interested in the probability distribution of Y n  in terms of those of X j . In the
           following development, attention is given to the case where random variables
           X j , j ˆ  1, 2, .. . , n, are independent and identically distributed with PDF F X (x)
           and pdf f (x) or  pmf p (x). Furthermore, asymptotic results for n !1   are
                   X
                               X
           our primary concern. For the wind-gust example given above, these conditions
           are not unreasonable in determining the distribution of annual maximum gust
           velocity. We will also determine, under the same conditions, the minimum Z n
           of random variables X 1 , X 2 ,...,  and  X n , which is also of interest in practical
           applications.
             The random variables Y n  and Z n  are defined by

                                 Y n ˆ max…X 1 ; X 2 ; ... ; X n †;
                                                                        …7:87†
                                 Z n ˆ min…X 1 ; X 2 ; ... ; X n †:

           The PDF of Y n  is

                            …y†ˆ P…Y n   y†ˆ P…all X j   y†
                         F Y n
                               ˆ P…X 1   y \ X 2   y \     \ X n   y†:








                                                                            TLFeBOOK
   238   239   240   241   242   243   244   245   246   247   248