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ID:20877867
大小:308.46 KB
页数:16页
时间:2018-10-17
《仿真系统时间类型定义》由会员上传分享,免费在线阅读,更多相关内容在工程资料-天天文库。
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)00,04、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_ce5、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_beta7、(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)gammadistribution8、z_geo
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
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