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Extreme value distributions of mixing two sequences with the same MDA
作者姓名:蒋岳祥
作者单位:College of
摘    要:INTRODUCTIONSuppose{Xn,n1}isasequenceofinde-pendentandidenticallydistributedrandomvari-ableswithcommoncontinuousdistributionfunc-tionFX(x).DefineMn(X)=max(X1,X2,,Xn).WeconsiderthenondegeneratedlimitdistributionofPr{Mn(X)anx bn}whereanandbnaresomenormalizingconstants{}()limPr()XnnnnGxMXxab=?.Fori.i.d.randomvariablesX,FisherandTippettfoundin1928thatlimitdistributionsexistandthatthereareonlythreetypesofdistributions,theso-calledExtremeValueDistributionsandthatGX(x)iseitherofthefol…


Extreme value distributions of mixing two sequences with the same MDA
JIANG Yue-xiang.Extreme value distributions of mixing two sequences with the same MDA[J].Journal of Zhejiang University Science,2004(3).
Authors:JIANG Yue-xiang
Abstract:Suppose {Xi, i 1} and {Yi, i 1} are two independent sequences with distribution functions ()XFx and ()YFx, respectively. Zi,n is the combination of Xi and Yi with a probability np for each i with 1 in. The extreme value distribution GZ(x) of this particular triangular array of the i.i.d. random variables Z1,n, Z2,n, ,L Zn,n is discussed. We found a new form of the extreme value distributions i) 12()()AxxaaFF and ii) 12()()AxxaaYY (a1
Keywords:Extreme value distribution  Maximum domain of attraction (MDA)  Mixed distribution functions
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