仿真系统时间类型定义

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1、仿真系统时间类型定义时间类型格式释义FunctionRangeofValuesconstXXX常数Value0UniformStream,Start,Stop通用zuniform(s,Start,Stop)StopStart0NormalStream,Mu,Sigma,LowerBound,UpperBound正态分布z_normal(s,Mu,Sigma)UpperBoundLowerBound0,Sigma>0LognormStream,Mu,Sigma,LowerBound,UpperBound对数分布z_lognorm(s,Mu,Sigma)UpperBo

2、undLowerBound,Sigma>0,Mu>0NegexpStream,Beta,LowerBound,UpperBound指数分布z_negexp(s,Beta)UpperBoundLowerBound,Beta〉0GeomStream,P,LowerBound,UpperBound几何分布z一geom(s，p)UpperBoundLowerBound,0

3、占线分布zerlang(s,Mu,Sigma)UpperBoundLowerBound,Sigma>0WeibullStream，Alpha,Beta,LowerBound,UpperBound韦伯分布z_weibull(s,Alpha,Beta)UpperBoundLowerBound,Alpha>0,Beta>0TriangleStream,c,a,b三角分布ztriangle(s,c,a,b)00,0

4、son(s,Lambda)Lambda〉0GammaStream，Beta,LowerBound,UpperBoundGamma分布z^gamma(s,Alpha,Beta)UpperBoundLowerBound0,Alpha>0,Beta>0BetaStream，Alphal,Alpha2Beta分布z一beta(s,Alphal,Alpha2)Alphal>0,Alpha2>0dEmpStream,Table[time,real]离散经验zdemp(s,Table)Stream1cEmpStream,Table[time,time,real]连续经验z_ce

5、mp(s,Table)Stream1limpStream,Table[real,…]Column简单经验zemp(s,Table,column)Stream1Formula公式DistributionFunctionsYoucancreaterandomnumberswithobjectsoftypeGeneratorandVariablesofdatatypetimeaswellaswiththefunctionsdescribedbelow,whichreturnrandomnumbersaccordingtothedesireddistribution.你可

6、以根据需要的数据分布形态，使用K面所述的针对时间变量的类型生成器，生成任意数值。Theargument5*standsfortherandomnumberstreamandisofdatatypeinteger.AllotherargumentsaretheargumentsofthecorrespondingdistributionfunctionasdescribedunderStatisticalDistributions.Theyalleitherareofdatatyperealorinteger.「1FunctionResultsinthez_beta

7、(s,Alphal,A1pha2)betadistributionz_binominal(s,n,p)binominaldistributionz_cemp(s，Table)steadyempiricaldistributionz_demp(s，Table)discreteempiricaldistributionz_emp(s,Table,column)primitiveempiricaldistributionz_erlang(s,Mu,Sigma)Erlangdistributionz_gamma(s，Alpha，Beta)gammadistribution

8、z_geo