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高斯正态分布曲线 具体拟合过程 matlab算法过程(the process of matlab algorithm of Gaussian normal distribution curve)
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频发故障的寿命分巧拟合,频发故障的部件,可以基于往大量的维修经验以及相关可靠性寿命试验中测得的结果来判断这类寿命的分布类型,常常有威布尔分布类型、对数正态分布类型,以及指数分布类型等。因此本程序可以根据故障数据输入判断出该数据属于哪一种寿命分布。(Frequent failure of the life of the split fit, frequent failure of the components, can be based on a large number of maintenan
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It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using 'Content her
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It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using 'Content her
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当数据抽样于非正态分布时,如未知或混合分布、样本量过小、存在离群点、基于理论分布设计合适的统计检验过于复杂且数学上难以处理等情况,这时基于随机化和重抽样的统计方法可派上用场。(When the sampling data in non normal distribution, such as the unknown or mixed distribution, the sample size is too small, there are outliers, based on the theor
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产生一组均值为1,方差为4的正态分布随机序列(1000个样本),估计该序列的均值与方差(A set of normal distribution random sequences (1000 samples) with mean value of 1 and variance of 4 is generated, and the mean and variance of the sequence are estimated)
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不需要调用函数编写正态分布生成随机数程序(normal distribution generate random numbers)
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高斯模型就是用高斯概率密度函数(正态分布曲线)精确地量化事物,将一个事物分解为若干的基于高斯概率密度函数(正态分布曲线)形成的模型。(Gaussian model is to use Gaussian probability density function (normal distribution curve) to accurately quantify things, a thing is divided into several based on the Gaussian probabi
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t is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using 'Content here
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考虑载荷大小和方向不确定性的柔顺度期望和方差的解析公式。在载荷大小和方向都服从正态分布的前提下,研究了具有不确定性荷载的柔顺度期望和方差的解析求解方法,将结构柔顺度表示成确定性荷载对应的互柔顺度与荷载大小和方向正余弦乘积之和的形式,将均值与方差的计算,转化成荷载大小乘积的均值以及方向角度的三角函数的幂函数或乘积的均值问题。(An analytical formula for the expectation and variance of flexibility in consideration
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随机信号均匀分布、正态分布噪声特性分析。随机信号试验。(matlab uniform distribution normal distribution)
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本代码为正态云分布源程序,用于模糊随机分布过程中分布概率的拟合。(Normal cloud distribution source program)
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格拉布斯准则 C#实现 剔除异常值
格拉布斯准则
格拉布斯准则是以正态分布为前提的,理论上较严谨,使用也方便。
某个测量值的残余误差的绝对值 |Vi |>Gg,则判断此值中有较大误差,应以剔除,此即格拉布斯准则。(Grab J function C#
grubbs criterion
The Grab J criterion is based on the normal distribution, and it is more rigorous in theory and c
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实现正态分布随机数,可以控制平均值和标准差(The realization of normal distribution random number)
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用 dataset3 作为训练数据,用 dataset4 作为测试数据,采用不同的特征、训练样本数、分类方法进行比较实验,观察、分析实验结果的异同。 训练分类器的方法为最小错误率贝叶斯分类器(假设正态分布,先验概率各 50%)。使用Bayesscr ipt.m运行代码。(Using dataset3 as training data, dataset4 is used as test data, and different characteristics, training samples an
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可以进行投资回报率的正态分布检验,无论是几何正态分布还是算数正态分布均可以适用(You can use it to determine whether realized returns belong to normal distribution.)
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泊松流 正态分布 排队论 仿真 包括MATLAB画图,希望有帮助,(The simulation of the queuing theory of Poisson flow normal distribution includes MATLAB drawing, hoping to help,)
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用于计算海洋型气溶胶的不同波段光学厚度,采用对数正态分布的气溶胶粒子普分布形式(multi-log-normal-distribution
AOD)
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风电功率预测误差的正态分布,t分布,贝塔分布(Wind power prediction error of the normal distribution, t distribution and beta distribution)
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1. 608组样本,第一列数字是标号,第二列数字是出现损坏的时间,第三列表示数据有效性,为0有效
2. 损坏时间是对数正态分布的,需要拟合
3. 求均值80%置信区间
4. 成本为m,价格为s,保证盈利20%,选取保修期
5. 比较保修期和拟合数据的均值
6. 若保修期就是拟合损坏时间的均值,求出利润率
loadd.m:加载样本数据,并选取有效数据
period.m:加载成本、价格数据,计算利润和保修期的关系(1.608 groups of samples, the first nu
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