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234                    Fundamentals of Probability and Statistics for Engineers

           variables. It can be verified, using the techniques of transformations of random
           variables, that they are related by

                                           …ln y†;  y   0;             …7:115†
                                F Y II  …y† ˆ F Y I
           where parameters    and u in F Y I   (y) are related to parameters k and v in F Y II  (y) by

                                  u ˆ ln v  and    ˆ k:                …7:116†

           When they are continuous, their pdfs obey the relationship
                                        1
                                f  …y†ˆ f …ln y†;  y   0:              …7:117†
                                        y
                                 Y II     Y I
             The Type-II asymptotic distribution of minimum values arises under analogous
           conditions. With PDF F X (x) limited on the right at zero and approaching zero
           on the left in a manner analogous to Equation (7.111), we have


                                               k
                                               ;  v; k > 0; z   0:     …7:118†
                                          z
                                          v
                         F Z …z†ˆ 1   exp
           However, it has not been found as useful as its counterparts in Type I and Type III
           as in practice the required initial distributions are not frequently encountered.

           7.6.3  TYPE-III  ASYMPTOTIC  DISTRIBUTIONS  OF  EXTREME
                 VALUES


           Since the Type-III maximum-value asymptotic distribution is of limited prac-
           tical interest, only the minimum-value distribution will be discussed here.
             The Type-III minimum-value asymptotic distribution is the limiting distribu-
           tion  of Z n  as  n !1  for  an  initial  distribution  F X  (x) in, which  the left  tail
           increases from zero near x ˆ "  in the manner

                                           k
                            F X …x†ˆ c…x   "† ;  c; k > 0; x   ":      …7:119†
           This class of distributions is bounded on the left at x ˆ ".  The gamma distri-
           bution is such a distribution with " ˆ  0.
             Again bypassing derivations, we can show the asymptotic distribution for the
           minimum value to be

                                    z   "

                                          k
                  F Z …z†ˆ 1   exp         ;  k > 0; w >"; z   ";      …7:120†
                                    w   "







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