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Fundamentals of Probability and Statistics for Engineers

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Some Important Continuous Distributions 233where u is the scale factor <strong>and</strong> the value <strong>of</strong> u describes the characteristics <strong>of</strong>a river; it varies from 1.5 <strong>for</strong> violent rivers to 10 <strong>for</strong> stable or mild rivers.In closing, let us remark again that the Type-I maximum-value distributionis valid <strong>for</strong> initial distributions <strong>of</strong> such practical importance as normal, lognormal,<strong>and</strong> gamma distributions. It thus has wide applicability <strong>and</strong> is sometimessimply called the extreme value distribution.7.6.2 TYPE-II ASYMPTOTIC DISTRIBUTIONS OF EXTREMEVALUESThe Type-II asymptotic distribution <strong>of</strong> maximum values arises as the limitingdistribution <strong>of</strong> Y n as n !1from an initial distribution <strong>of</strong> the Pareto type, thatis, the PDF F X (x) <strong>of</strong> each X j is limited on the left at zero <strong>and</strong> its right tail isunbounded <strong>and</strong> approaches one according toF X …x† ˆ1 ax k ; a; k > 0; x 0: …7:111†For this class, the asymptotic distribution <strong>of</strong> Y n , F Y (y), as n !1takes the<strong>for</strong>mF Y …y† ˆexpy k; v; k > 0; y 0: …7:112†vLet us note that, with F X (x) given by Equation (7.111), each X j has momentsonly up to order r, where r is the largest integer less than k. If k > 1, the mean <strong>of</strong>Y ism Y ˆ v 11; …7:113†k<strong>and</strong>, if k > 2, the variance has the <strong>for</strong>m 2 Y ˆ 2v2 1k211k: …7:114†The derivation <strong>of</strong> F Y (y) given by Equation (7.112) follows in broad outlinethat given <strong>for</strong> the Type-I maximum-value asymptotic distribution <strong>and</strong> will notbe presented here. It has been used as a model in meteorology <strong>and</strong> hydrology(Gumbel, 1958).A close relationship exists between the Type-I <strong>and</strong> Type-II asymptoticmaximum-value distributions. Let Y I <strong>and</strong> Y II denote, respectively, these r<strong>and</strong>omTLFeBOOK

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