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1、P-Ⅲtypedistributionparameterestimationoffuzzyweightedoptimalcurve-fittingmethodAbstract:Fromthefulluseofsampleinformation,toenhancetherobustnessofparameterestimationmethodsforpeacepoorabilitytoconsider,firstproposedtheP-Ⅲtypedistributionparameterestimationoffuzzyweightedoptimalcurve-fit
2、tingmethod,throughthehypotheticalhydrologicaltestsamplesandmeasuredhydrologicaldataTheresultsshowthatfuzzyweightedleastsquaresmethodofcalculatingthesquareandtheresultsarestable,fullyabletomeettolerancestandards.106Keywords::parameterestimationcurve-fittingmethodrelativemembershipdegreeo
3、ffuzzyweightedoptimizationOneoftheproblemP-ⅢtypedistributionasstipulatedinourhydrologicanalysisandcalculationofthelinearlongbeenwidelyusedinChinaforitsparameterestimationofhydrologicalworkersmadeanextensiveresearchwork,heproposedafittingmethod,weightfunctionmethod,numericalintegralweigh
4、tfunctionmethod,Monte-Carlomethod,probability-weightedmomentmethod,limitlaw,fixed-pointmoving-line-fittingmethod,thedensityfunctionmethodandsoon.KimKwang-Yanpairsofcurve-fittingmethodwasalotofwork[1].curve-fittingmethodisactuallyapreferredmethod,asetof106parametersthatisoptimizedsothatt
5、hecorrespondingtheoreticalcurveandexperiencepoints,accordingtothebestfit.However,asestimatedfittingheadwithoutaclearquantitativegoodnessoffitcriteriasothattheresultsvary,oftenfailtooptimizeend,cannotfindthebestresults.inordertohaveanobjectiveandquantitativecriteria,andusethecomputercurv
6、e-fitting,inrecentyearsproducedanewmethod-ModelSearchforcurve-fittingmethod,itsprincipleswiththeheadfittingestimatesFrance,likelookingforasetofparameters,sothatthesetofparametersdeterminedbythetheoreticalcurveandexperiencepoints,accordingtothebestfit.duetodifferentcriteriaanddifferentcu
7、rve-fittingformulaforcalculatingthefrequencyoftheexperiencetheresultsobtainedaresometimesverydifferent,inordertodetermineareasonablecurve-fittingthecriteriaandthecorrespondingempiricalfrequencyformula,CONGShu-Zhengetal[2]onthisissuemadealotofhydrologicalstatisticsstudied.106Inf
